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Total 155 records

    Notch-texture strengthening mechanism in commercially pure titanium thin sheets

    , Article Materials and Design ; Vol. 55, issue , March , 2014 , p. 683-689 Nasiri-Abarbekoh, H ; Abbasi, R ; Ekrami, A ; Ziaei-Moayyed, A. A ; Sharif University of Technology
    Abstract
    Simultaneous effects of notch and texture on strengthening mechanisms of rolled thin sheets of commercially pure titanium were investigated. The presence of notch led to the restriction of deformation systems and different fracture behaviors compared to un-notched specimens. The loss of material's ability to accommodate plastic deformation at the notch tip with increase in rolling reductions changed the notch strengthening phenomenon to the notch weakening one. At medium levels of deformation, due to the simultaneous development of a triaxial stress state and strong basal texture at the notch tip, a new strengthening mechanism which is called "notch-texture strengthening mechanism" led to a... 

    A simple and efficient method for segmentation and classification of aerial images

    , Article Proceedings of the 2013 6th International Congress on Image and Signal Processing, CISP 2013 ; Volume 1 , 2013 , Pages 566-570 ; 9781479927647 (ISBN) Ahmadi, P ; Sharif University of Technology
    2013
    Abstract
    Segmentation of aerial images has been a challenging task in recent years. This paper introduces a simple and efficient method for segmentation and classification of aerial images based on a pixel-level classification. To this end, we use the Gabor texture features in HSV color space as our best experienced features for aerial images segmentation and classification. We test different classifiers including KNN, SVM and a classifier based on sparse representation. Comparison of our proposed method with a sample of segmentation pre-process based classification methods shows that our pixel-wise approach results in higher accuracy results with lower computation time  

    A modified patch propagation-based image inpainting using patch sparsity

    , Article AISP 2012 - 16th CSI International Symposium on Artificial Intelligence and Signal Processing ; 2012 , Pages 43-48 ; 9781467314794 (ISBN) Hesabi, S ; Mahdavi-Amiri, N ; Sharif University of Technology
    2012
    Abstract
    We present a modified examplar-based inpainting method in the framework of patch sparsity. In the examplar-based algorithms, the unknown blocks of target region are inpainted by the most similar blocks extracted from the source region, with the available information. Defining a priority term to decide the filling order of missing pixels ensures the connectivity of object boundaries. In the exemplar-based patch sparsity approaches, a sparse representation of missing pixels was considered to define a new priority term. Here, we modify this representation of the priority term and take measures to compute the similarities between fill-front and candidate patches. Comparative reconstructed test... 

    Microstructural features, texture and strengthening mechanisms of nanostructured AA6063 alloy processed by powder metallurgy

    , Article Materials Science and Engineering A ; Volume 528, Issue 12 , 2011 , Pages 3981-3989 ; 09215093 (ISSN) Asgharzadeh, H ; Simchi, A ; Kim, H. S ; Sharif University of Technology
    Abstract
    Nanostructured AA6063 (NS-Al) powder with an average grain size of ~100. nm was synthesized by high-energy attrition milling of gas-atomized AA6063 powder followed by hot extrusion. The microstructural features of the consolidated specimen were studied by transmission electron microscopy (TEM) and electron backscatter diffraction (EBSD) techniques and compared with those of coarse-grained AA6063 (CG-Al) produced by hot powder extrusion of gas-atomized powder (without using mechanical milling). The consolidated NS-Al alloy consisted of elongated ultrafine grains (aspect ratio of ~2.9) and equiaxed nanostructured grains. A high fraction (~78%) of high-angle grain boundaries with average... 

    An algorithm for modeling print and scan operations used for watermarking

    , Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10 November 2008 through 12 November 2008 ; Volume 5450 LNCS , 2009 , Pages 254-265 ; 03029743 (ISSN) ; 3642044379 (ISBN); 9783642044373 (ISBN) Amiri, S.H ; Jamzad, M ; Sharif University of Technology
    Abstract
    Watermarking is a suitable approach for digital image authentication. Robustness regarding attacks that aim to remove the watermark is one of the most important challenges in watermarking, in general. Several different attacks are reported that aim to make it difficult or impossible for the real owner of the digital watermarked image to extract the watermark. Some of such common attacks are noise addition, compression, scaling, rotation, clipping, cropping, etc. In this paper we address the issue of print and scan attack by introducing a method to model the scanner and printer. Then we will simulate the print and scan attack on the digital images to evaluate its robustness. In addition, we... 

    A high capacity image hiding method based on fuzzy image coding/decoding

    , Article 2009 14th International CSI Computer Conference, CSICC 2009, 20 October 2009 through 21 October 2009 ; 2009 , Pages 518-523 ; 9781424442621 (ISBN) Toony, Z ; Sajedi, H ; Jamzad, M ; Sharif University of Technology
    Abstract
    Recently, a technique has been proposed for image hiding, that is based on block texture similarity where, blocks of secret image are compared with blocks of a set of cover images and the cover image with the most similar blocks to those of the secret image is selected as the best candidate cover image to conceal the secret image. In this paper, we propose a new image hiding method in which, the secret image is initially coded using a fuzzy coding/decoding method. By applying the fuzzy coder, each block of the secret image is compressed to a smaller block. In this way, after compressing the secret image to a smaller one, we hide it in a cover image. Obviously hiding a smaller secret image... 

    Role of second phase particles on microstructure and texture evolution of ARB processed aluminium sheets

    , Article Materials Science and Technology ; Volume 25, Issue 5 , 2009 , Pages 625-631 ; 02670836 (ISSN) Pirgazi, H ; Akbarzadeh, A ; Sharif University of Technology
    2009
    Abstract
    The accumulative roll bonding (ARB) process was carried out on a high purity alloy (AA1100) and a particle containing aluminium alloy (AA3003) for up to eight cycles. The electron backscattered diffraction (EBSD) method was utilised to investigate the microstructural and microtextural evolution in ARB processed sheets. The results indicate that the lack of second phase particles in pure aluminium hinders grain refinement and leads to the formation of unrefined bands, which results in the increase of the overall texture intensity and the development of a strong texture. Asubmicrometre grain structure in this alloy develops at the final stages of the process. It was also found that the... 

    Automatic skin cancer (melanoma) detection by processing dermatoscopic images

    , Article 1st International Conference on Machine Vision and Image Processing, MVIP 2020, 19 February 2020 through 20 February 2020 ; Volume 2020-February , 2020 Moazen, H ; Jamzad, M ; Sharif University of Technology
    IEEE Computer Society  2020
    Abstract
    Melanoma is the deadliest form of skin cancer if not treated early. The best way to cure melanoma is to treat it in its earliest stage of development. Since melanoma is similar to benign moles in its shape and appearance, it is often mistaken for moles and left untreated. Automatic melanoma detection is an essential way to increase the survival rate of patients by detecting melanoma in its early stages. In this paper, a new method for automatic diagnosis of melanoma using segmented dermatoscopic images is provided. Almost all related methods follow similar approaches but using different features. We have introduced several new features which could improve the accuracy of diagnosing melanoma.... 

    Adaptive search window for object tracking in the crowds using undecimated wavelet packet features

    , Article 2006 World Automation Congress, WAC'06, Budapest, 24 June 2006 through 26 June 2006 ; 2006 ; 1889335339 (ISBN); 9781889335339 (ISBN) Khansari, M ; Rabiee, H. R ; Asadi, M ; Khadern Hamedani, P ; Ghanbari, M ; Sharif University of Technology
    IEEE Computer Society  2006
    Abstract
    In this paper, we propose an adaptive object tracking algorithm in crowded scenes. The amplitudes of of Undecimated Wavelet Packet Tree coefficients for some selected pixels at the object border are used to create a Feature Vector (FV) corresponding to that pixel. The algorithm uses these FVs to track the pixels of small square blocks located at the vicinity of the object boundary. The search window is adapted through the use of texture information of the scene by finding the direction and speed of the object motion. Experimental results show a good object tracking performance in crowds that include object translation, rotation, scaling and partial occlusion. Copyright - World Automation... 

    A robust steganography algorithm based on texture similarity using Gabor filter

    , Article 5th IEEE International Symposium on Signal Processing and Information Technology, Athens, 18 December 2005 through 21 December 2005 ; Volume 2005 , 2005 , Pages 578-582 Kermani, Z. Z ; Jamzad, M ; Sharif University of Technology
    2005
    Abstract
    The main concern of steganography (image hiding) methods is to embed a secret image into a host image in such a way that the host should remain as similar as possible to its original version. In addition the host image should remain robust with respect to usual attacks. In this paper we present a method that tries to cover all above mentioned concerns. The secret and host images are divided into blocks of size 4 × 4. Each block in secret image is taken as a texture pattern for which the most similar block is found among the blocks of the host image. The embedding procedure is carried on by replacing these small blocks of the secret image with blocks in host image in such a way that least... 

    Thermal and grain-structure simulation in a land-based turbine blade directionally solidified with the liquid metal cooling process

    , Article Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science, Warrendale ; Volume 31, Issue 6 , 2000 , Pages 1293-1304 ; 10735615 (ISSN) Kermanpur, A ; Varahram, N ; Davami, P ; Rappaz, M ; Sharif University of Technology
    Minerals, Metals & Materials Soc (TMS)  2000
    Abstract
    The thermal field and the grain structure of a cored superalloy turbine blade, which has been directionally solidified with the liquid metal cooling (LMC) process, has been simulated in three dimensions using a cellular automaton (CA) coupled with finite-element (CAFE) model. The cooling induced by the liquid aluminum bath has been replaced by a heat-transfer coefficient, whose temperature- and time-dependence has been adjusted on the basis of natural convection simulations and dimensionless analyses. The simulated grain structure and crystallographic texture have been compared with the microstructure, and the electron back-scattered diffraction (EBSD) results were obtained for a real blade.... 

    Dynamic Texture Segmentation in Video Sequences

    , Ph.D. Dissertation Sharif University of Technology Yousefi, Sahar (Author) ; Manzuri Shalmani, Mohammad Taghi (Supervisor)
    Abstract
    Video segmentation means grouping of pixels of the video sequences into spatio-temporal regions which exhibit coherence in both appearance and motion. Due to complexity and spatio-temporal variations, dynamic texture segmentation is a one of the most challenging task in video processing. The problem of dynamic texture segmentation has received considerable attention due to the explosive growth of its applications in video analysis and surveillance systems. In this thesis, two novel approaches have been proposed. The first proposed method is based on generative Dynamic texture models (DTMs) which represent videos as a linear dynamical system. Since DTMs cannot be used for complex videos which... 

    Intelligent image-based gas-liquid two-phase flow regime recognition

    , Article Journal of Fluids Engineering, Transactions of the ASME ; Volume 134, Issue 6 , 2012 ; 00982202 (ISSN) Ghanbarzadeh, S ; Hanafizadeh, P ; Hassan Saidi, M ; Sharif University of Technology
    2012
    Abstract
    Identification of different flow regimes in industrial systems operating under two-phase flow conditions is necessary in order to safely design and optimize their performance. In the present work, experiments on two-phase flow have been performed in a large scale test facility with the length of 6 m and diameter of 5 cm. Four main flow regimes have been observed in vertical air-water two-phase flow at moderate superficial velocities of gas and water namely: Bubbly, Slug, Churn, and Annular. An image processing technique was used to extract information from each picture. This information includes the number of bubbles or objects, area, perimeter, as well as the height and width of objects... 

    Structure, texture and magnetic properties of laser-welded ultrathin Fe-Co-V foils

    , Article Acta Metallurgica Sinica (English Letters) ; Volume 28, Issue 3 , March , 2015 , Pages 338-347 ; 10067191 (ISSN) Mostaan, H ; Shamanian, M ; Monirvaghefi, S. M ; Behjati, P ; Szpunar, J. A ; Amiri, M ; Fathi Moghadam, M ; Sharif University of Technology
    Chinese Society for Metals  2015
    Abstract
    This research aims to investigate the effect of pulsed Nd:YAG laser micro-welding on the microstructure, texture and magnetic properties of ultra-thin Fe-Co-7.15 wt% V magnetic alloy. Optical microscopy, scanning electron microscopy and electron backscattered diffraction techniques were used to study the microstructural evolutions. Also, vibrating sample magnetometry was used to characterize the magnetic properties. The results showed that the fractions of low Σ coincidence site lattice boundaries in the fusion zone are higher than those of the base metal. The welded samples experience a significant decrease in their magnetic properties. It was found that the formation of new fiber texture... 

    Fuzzy clustering of vertical two phase flow regimes based on image processing technique

    , Article American Society of Mechanical Engineers, Fluids Engineering Division (Publication) FEDSM, 1 August 2010 through 5 August 2010, Montreal, QC ; Volume 2 , 2010 , Pages 303-313 ; 08888116 (ISSN) ; 9780791849491 (ISBN) Ghanbarzadeh, S ; Hanafizadeh, P ; Hassan, M ; Bozorgmehry, R. B ; Sharif University of Technology
    2010
    Abstract
    In order to safe design and optimize performance of industrial systems which work under two phase flow conditions, it's often needed to categorize flow into different regimes. In present work the experiments of two phase flow were done in a large scale test facility with length of 6m and 5cm diameter. Four main flow regimes were observed in vertical air-water two phase flows at moderate superficial velocities of gas and water: Bubbly, Slug, Churn and Annular. Some image processing techniques were used to extract information from each picture. This information include number of bubbles or objects, area, perimeter, height and width of objects (second phase).Also a texture feature extraction... 

    Influence of hard inclusions on microstructural characteristics and textural components during dissimilar friction-stir welding of an PM Al–Al2O3–SiC hybrid nanocomposite with AA1050 alloy

    , Article Science and Technology of Welding and Joining ; Volume 22, Issue 5 , 2017 , Pages 412-427 ; 13621718 (ISSN) Khodabakhshi, F ; Simchi, A ; Kokabi, A. H ; Gerlich, A. P ; Nosko, M ; Švec, P ; Sharif University of Technology
    Taylor and Francis Ltd  2017
    Abstract
    Owing to the advantages of nanocomposites for structural applications, we present microstructural evolutions and texture development during dissimilar friction stir welding (DFSW) of an Al-matrix hybrid nanocomposite (Al-2 vol.-% Al2O3-2 vol.-% SiC) with AA1050. It is shown that DFSW can successfully be performed at a rotating speed of 1200 rev min−1 and a transverse speed of 50 mm min−1 while locating the nanocomposite at retreating side. Formation of macro-, micro-, and nano-mechanical interlocks between dissimilar base materials (BMs) as a result of FSW tool stirring action possessed an impact influence on the mechanical performance of dissimilar welds. Electron microscopy revealed... 

    Heating rate effect on particle stimulated nucleation and grains structure during non-isothermal annealing of multi-directionally forged solution treated AA2024

    , Article Materials Characterization ; Volume 127 , 2017 , Pages 317-324 ; 10445803 (ISSN) Khani Moghanaki, S ; Kazeminezhad, M ; Logé, R ; Sharif University of Technology
    Elsevier Inc  2017
    Abstract
    Particle stimulated nucleation (PSN) is one of the important mechanisms of recrystallization which is investigated in this research during non-isothermal annealing of multi-directionally forged solution treated aluminum alloy 2024. Non-isothermal annealing is performed up to temperatures of 380 °C and 450 °C at heating rates of 10, 100 and 200 K·min− 1 using a Gleeble 3800 thermo-mechanical simulator. In order to investigate the microstructure, field emission gun scanning electron microscope (FEG-SEM) equipped with electron backscatter diffractometer (EBSD) and differential scanning calorimetry (DSC) are utilized. The results show that the heating rate has a significant effect on the PSN and... 

    Influence of ambient and cryogenic temperature on friction stir processing of severely deformed aluminum with SiC nanoparticles

    , Article Journal of Alloys and Compounds ; Volume 718 , 2017 , Pages 361-372 ; 09258388 (ISSN) Sarkari Khorrami, M ; Kazeminezhad, M ; Miyashita, Y ; Saito, N ; Kokabi, A. H ; Sharif University of Technology
    Abstract
    The texture, microstructure, and mechanical properties of severely deformed aluminum subjected to friction stir processing (FSP) with SiC nanoparticles under ambient and cryogenic temperatures are comprehensively investigated. Even one pass of FSP in the ambient temperature results in the formation of quite large grain structure with random texture in the heat affected zone (HAZ). It suggests the occurrence of static recrystallization and subsequent grain growth because of the appreciable strain stored within the base metal. One FSP pass under condition of cryogenic temperature causes to the development of bimodal grain size distribution in HAZ, including the elongated grains with interior... 

    Robustness enhancement of optical flow sensors accuracy to surface texture variations using point tracking algorithm

    , Article 5th RSI International Conference on Robotics and Mechatronics, IcRoM 2017, 25 October 2017 through 27 October 2017 ; 2018 , Pages 406-410 ; 9781538657034 (ISBN) Takaloo, S ; Vossoughi, G ; Sharif University of Technology
    Abstract
    Novel architecture of high precision localization using optical flow sensor (OFS) combined with Iterative Point Tracking Algorithm (IPTA) is proposed. This work focuses on attenuation of OFS' sensitivity dependency on texture of surface over which sensor is moving. The aim for the design of experimental setup is to verify how much a robustness of OFS's sensitivity on various surfaces improves. In this regard, four different surfaces' texture including iron, paper, textile and granite stone is opted. Experimental results indicate that sensor's resolution via IPTA on surfaces of iron, paper, textile and granite stone respectively equal to 382, 460, 528 and 448 CPI. Optimal value of the... 

    An efficient partial discharge pattern recognition method using texture analysis for transformer defect models

    , Article International Transactions on Electrical Energy Systems ; Volume 28, Issue 7 , February , 2018 ; 20507038 (ISSN) Rostaminia, R ; Saniei, M ; Vakilian, M ; Mortazavi, S. S ; Parvin Darabad, V ; Sharif University of Technology
    John Wiley and Sons Ltd  2018
    Abstract
    Partial discharge (PD) measurement is one of the best methods for condition monitoring of transformers. In this paper, we use 5 different types of defects as follows: scratch on winding insulation, bubble in oil, moisture in insulation paper, a very small free metal particle in the transformer tank, and a fixed sharp metal point on the transformer tank, for our PD-related studies. Each type of defect is implemented into 1 of the 5 identical transformer models, which had been developed in the authors' recent work. The continuous wavelet transform is applied to each related measured time-domain PD signals. This process results in an image, for each PD pulse in the time-frequency domain. Using...