Izem Hamouchene

University of Science and Technology Houari Boumediene | usthb · Department of Informatics

Image analysis is emerging as an important research area. The study of certain methods of image processing by the texture characteristic has been made in this paper. Existing texture analysis algorithms are studied and classified into four categories: statistical methods, structural methods, model based methods and Transform based methods. Each app...

Image processing is a dynamic research area. Recently, a lot of works have been made, efficient approaches have been developed and good results have been obtained. In this work, we propose a new texture matching and segmenting approach based on a new decomposing architecture. This method starts with one main window MW. For each iteration, the MW is...

The human brain receives images from the natural world and understands scenes, places and events quickly, outperforming the most advanced artificial vision system. Most of surfaces are textured in real life. Thus, In this paper, a novel texture analysis method has been proposed. The texture can be seen as a visual representation of complex patterns...

One of the most important authentication approaches is the iris recognition system (IRS), which is based on the iris of aperson for the authentication.In this paper, we propose a new iris recognition system using a novel feature extraction method. The proposed method, Neighborhood-based Binary Pattern, compares each neighbor of the central pixel wi...

In this paper, we propose a texture matching approach based on a new decomposing architecture. First, the main window starting from the converging point a to the bottom-right corner of the image is considered. For each iteration, the main window's size is reduced by a distance d and other windows with the same main window's size are generated if po...

Image processing is a very rich and important research area, which provides efficient solutions to many real and industrial problems. Texture analysis is one of the most interesting fields in image processing and pattern recognition. It became a very attractive research area these last years, especially after the growth and the advancement of techn...

Image analysis is emerging as an important research area. The study of certain methods of image processing by the texture characteristic has been made in this paper. Existing texture analysis algorithms are studied and classified into four categories: statistical methods, structural methods, model based methods and Transform based methods. Each app...

Nowadays, image processing is an interesting research area due to the growth of the communication technologies. Matching problem, which consists of localizing one texture in an image, that contains several textures is one of the fundamental problem of image processing and pattern recognition. In this paper, a new feature extraction method and textu...

Nowadays, researchers are interested in informatics systems that process automatically the information. Image is an interesting research area due to the growth of the technologies. In this paper, we have proposed a new texture analysis method. One of the key problems in image processing is the rotation. Therefore, the proposed method is robust agai...

Iris texture is a natural password that has great advantages such as variability, stability, unique features for each person, and its importance in the security field. This makes an iris recognition system upper of other biometric methods used for human identification. Recent science is interested to develop intelligent systems able to identify per...

Image processing and pattern recognition are one of the most important area of research in computer science. Recently, several studies have been made and efficient approaches have been proposed to provide efficient solutions to many real and industrial problems. Texture analysis is a fundamental field of image processing because all surfaces of obj...

Image processing and pattern recognition are one of the most important area of research in computer science. Recently, several studies have been made and efficient approaches have been proposed to provide efficient solutions to many real and industrial problems. Texture analysis is a fundamental field of image processing because all surfaces of obj...

Image processing is one of the important areas of research, which provides efficient solutions to many real and industrial problems. Texture analysis is the most important field in image processing because all objects are textured in real world. In this work, we propose a new texture segmentation method based on the dynamic segmentation architectur...

Image processing is a dynamic research area. Recently, a lot of works have been made, efficient approaches have been developed and good results have been obtained. In this work, we propose a new texture matching and segmenting approach based on a new decomposing architecture. This method starts with one main window MW. For each iteration, the MW is...

Image retrieval systems are designed to provide the ability of searching and retrieving images in huge image databases. A content based image retrieval system (CBIR) is used to offer such tasks based on the content of the image. In this paper we propose a new method of CBIR system based on a learning technique. Our method uses k-means clustering to...

Image retrieval systems are designed to provide the ability of searching and retrieving images in huge image databases. A content based image retrieval system (CBIR) is used to offer such tasks based on the content of the image. In this paper we propose a new method of CBIR system based on a learning technique. Our method uses k-means clustering to...