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image-processing-and-computer-vision
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Erratum to A linear genetic programming approach for the prediction of solar global radiation
, Article Neural Computing and Applications ; Volume 23, Issue 3-4 , 2013 , Pages 1205- ; 09410643 (ISSN) ; Saeidi Ramiyani, S ; Sharif University of Technology
2013
Composition of MPEG-7 color and edge descriptors based-on human vision perception
, Article Visual Communications and Image Processing 2005, Beijing, 12 July 2005 through 15 July 2005 ; Volume 5960, Issue 1 , 2005 , Pages 568-575 ; 0277786X (ISSN) ; Kialashaki, N ; Ghonoodi, A ; Soltani, M ; Sharif University of Technology
2005
Abstract
In content based image retrieval similarity measurement is one of the most important aspects in a large image database for efficient search and retrieval to find the best answer for a user query. Color and texture are among the more expressive of the visual features. Considerable work has been done in designing efficient descriptors for these features for applications such as similarity retrieval. The MPEG-7 specifies a standard set of descriptors for color, texture and shape. In the Human Vision System (HVS), visual information is not perceived equally; some information may be more important than other information. The purpose of this paper is to show how the MPEG-7 descriptor based on...
Wisecode: Wise image segmentation based on community detection
, Article Imaging Science Journal ; Vol. 62, Issue 6 , 2014 , pp. 327-336 ; Online ISSN: 1743131X ; Mahdisoltani, F ; Beigy, H ; Sharif University of Technology
Abstract
Image segmentation is one of the fundamental problems in image processing and computer vision, since it is the first step in many image analysis systems. This paper presents a new perspective to image segmentation, namely, segmenting input images by applying efficient community detection algorithms common in social and complex networks. First, a common segmentation algorithm is used to fragment the image into small initial regions. A weighted network is then constructed. Each initial region is mapped to a vertex, and all these vertices are connected to each other. The similarity between two regions is calculated from colour information. This similarity is then used to assign weights to the...
Employing topical relations in semantic analysis of traffic videos
, Article IEEE Intelligent Systems ; Volume 34, Issue 1 , 2019 , Pages 3-13 ; 15411672 (ISSN) ; Gholampour, I ; Tabandeh, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2019
Abstract
Motion patterns in traffic video can be directly exploited to generate high-level descriptions of video content, which can be used for rule mining and abnormal event detection. The most recent and successful unsupervised methods for complex traffic scene analysis are based on topic models. In this paper, a topic related sparse topical coding framework is proposed for more effectively discovering motion patterns in traffic videos. © 2001-2011 IEEE
Principal color and its application to color image segmentation
, Article Scientia Iranica ; Volume 15, Issue 2 , 2008 , Pages 238-245 ; 10263098 (ISSN) ; Kasaei, S ; Sharif University of Technology
Sharif University of Technology
2008
Abstract
Color image segmentation is a primitive operation in many image processing and computer vision applications. Accordingly, there exist numerous segmentation approaches in the literature, which might be misleading for a researcher who is looking for a practical algorithm. While many researchers are still using the tools which belong to the old color space paradigm, there is evidence in the research established in the eighties that a proper descriptor of color vectors should act locally in the color domain. In this paper, these results are used to propose a new color image segmentation method. The proposed method searches for the principal colors, defined as the intersections of the cylindrical...