Application of Image Processing in Weed Management

, M.Sc. Thesis Sharif University of Technology Jahromizadeh, Pardis (Author) ; Haj Sadeghi, Khosrow (Supervisor)

Abstract

Weed management is the important issue in agriculture. Using herbicides is one of the strategies to control weed. But using huge amount of herbicides are destructive for environment. Smart spraying system is an impressive solution for this problem. This system detects weeds and sprays just them instead of spraying overall field. In this thesis a new method for plant detection is presented by using Lab color space. We determine the type of plants (broadleaf/grass) to spray specific herbicides onto specific type of plant. One feature of grass plants (the parallel edges of leaf) is used to detect grass plants. A convolutional neural network with four layers and fuzzy logic are used to separate...

Scattering Correction in PET Device using Deep Learning

, M.Sc. Thesis Sharif University of Technology Kamalizadeh, Zeynab (Author) ; Vosoghi, Naser (Supervisor) ; Ghaffarian, Pardis (Co-Supervisor) ; Sheikhzadeh, Peyman (Co-Supervisor)

Abstract

Positron Emission Tomography (PET) imaging is a modern sectional imaging technique widely used due to its advantages in visualizing the physiological functions of body tissues. In this method, a radiotracer is injected into the body, concentrating in the area of interest. As the positron-emitting radionuclide decays, positron annihilation occurs, resulting in the emission of two gamma rays in opposite directions. The PET scanner detects these gamma rays; however, scattering may occur during their journey from the patient’s body to the detector, which can introduce errors in tumor localization. To reconstruct images and correct for these scatter effects, various techniques such as iterative...

Enhancement Of the Quality In PET Brain Images Using AutoGANcoder Algorithms

, M.Sc. Thesis Sharif University of Technology Razavi Satvati, Reyhaneh Sadat (Author) ; vosoughi, Naser (Supervisor) ; Ghafarian, Pardis (Co-Supervisor) ; Attari, Ali Akbar (Co-Supervisor)

Abstract

Positron Emission Tomography (PET) is a cutting-edge medical imaging technique that enables the examination of functional activities in different regions of the body, particularly the brain. This technique involves injecting a radiopharmaceutical into the body, which emits gamma rays that are subsequently detected by the PET scanner to generate images. However, a significant challenge in PET imaging is the degradation of image quality due to noise and photon scattering, which can lead to diagnostic errors, especially in sensitive applications such as detecting brain diseases. Various image reconstruction techniques have been developed in the past to mitigate attenuation and scattering...