Computer Vision
1. A Novel Method for Medical Image Segmentation based on Convolutional Neural Networks with SGD Optimization

M. Taheri; M. Rastgarpour; A. Koochari

Volume 9, Issue 1 , Winter and Spring 2021, , Pages 37-46

http://dx.doi.org/10.22061/jecei.2020.7404.390

Abstract
  Background and Objectives: medical image Segmentation is a challenging task due to low contrast between Region of Interest and other textures, hair artifacts in dermoscopic medical images, illumination variations in images like Chest-Xray and various imaging acquisition conditions. Methods: In ...  Read More

Computer Vision
2. Action Change Detection in Video Based on HOG

M. Fakhredanesh; S. Roostaie

Volume 8, Issue 1 , Winter and Spring 2020, , Pages 135-144

http://dx.doi.org/10.22061/jecei.2020.6949.351

Abstract
  Background and Objectives: Action recognition, as the processes of labeling an unknown action of a query video, is a challenging problem, due to the event complexity, variations in imaging conditions, and intra- and inter-individual action-variability. A number of solutions proposed to solve action recognition ...  Read More