Volume 12 (2024)
Volume 11 (2023)
Volume 10 (2022)
Volume 9 (2021)
Volume 8 (2020)
Volume 7 (2019)
Volume 6 (2018)
Volume 5 (2017)
Volume 4 (2016)
Volume 3 (2015)
Volume 2 (2014)
Volume 1 (2013)
H.5. Image Processing and Computer Vision
A Novel Method for Fish Spoilage Detection based on Fish Eye Images using Deep Convolutional Inception-ResNet-v2

Sekine Asadi Amiri; Mahda Nasrolahzadeh; Zeynab Mohammadpoory; AbdolAli Movahedinia; Amirhossein Zare

Volume 12, Issue 1 , January 2024, , Pages 105-113


  Improving the quality of food industries and the safety and health of the people’s nutrition system is one of the important goals of governments. Fish is an excellent source of protein. Freshness is one of the most important quality criteria for fish that should be selected for consumption. It ...  Read More

H.5. Image Processing and Computer Vision
A Novel Content-based Image Retrieval System using Fusing Color and Texture Features

S. Asadi Amiri; Z. Mohammadpoory; M. Nasrolahzadeh

Volume 10, Issue 4 , November 2022, , Pages 559-568


  Content based image retrieval (CBIR) systems compare a query image with images in a dataset to find similar images to a query image. In this paper a novel and efficient CBIR system is proposed using color and texture features. The color features are represented by color moments and color histograms of ...  Read More

Face Recognition using Color and Edge Orientation Difference Histogram

S. Asadi Amiri; M. Rajabinasab

Volume 9, Issue 1 , January 2021, , Pages 31-38


  Face recognition is a challenging problem because of different illuminations, poses, facial expressions, and occlusions. In this paper, a new robust face recognition method is proposed based on color and edge orientation difference histogram. Firstly, color and edge orientation difference histogram is ...  Read More

A.1. General
Salt and Pepper Noise Removal using Pixon-based Segmentation and Adaptive Median Filter

S. Asadi Amiri

Volume 8, Issue 1 , January 2020, , Pages 119-126


  Removing salt and pepper noise is an active research area in image processing. In this paper, a two-phase method is proposed for removing salt and pepper noise while preserving edges and fine details. In the first phase, noise candidate pixels are detected which are likely to be contaminated by noise. ...  Read More

Image quality enhancement in digital panoramic radiograph

Sekine Asadi Amiri; Ehsan Moudi

Volume 2, Issue 1 , March 2014, , Pages 1-6


  One of the most common positioning errors in panoramic radiography is palatoglossal air space above the apices of the root of maxillary teeth. It causes a radiolucency obscuring the apices of maxillary teeth. In the case of this positioning error, the imaging should be repeated. This causes the patient ...  Read More