This article presents a hybrid approach for texture-based image classification using the gray-level co-occurrence matrices (GLCM) and a new Fuzzy Kohonen Clustering Network for Symbolic Interval Data (IFKCN). The GLCM matrices extracted from an image database are processed to create the training data set using IFKCN algorithm. The IFKCN organizes and extracts prototypes from processed GLCM matr...

This paper proposes a technique for automatic face recognition using integrated multiple feature sets extracted from the significant blocks of a gradient image. We discuss about the use of novel morphological, local directional pattern (LDP) and gray-level co-occurrence matrix GLCM based feature extraction technique to recognize human faces. Firstly, the new morphological features i.e., feature...

An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images. A robust natural and geographic image retrieval using a supervised classifier which concentrates on extracted features is proposed. Gray level cooccurrence matrix (GLCM), Scale invariant feature technique(SIFT) and moment invariant features are implemented to ext...

-Texture analysis is significant field in image processing and computer vision. Shape and texture has groovy correlation and texture can be defined by shape descriptor. Three individual approach Zernike moment, which is orthogonal shape signifier, Gabor features and Haralick features are utilized for texture analysis. Another approach is applied by aggregating all the features for texture analy...

Steganalysis is a technique to detect the hidden embedded information in the provided data. This study proposes a novel steganalytic algorithm which distinguishes between the normal and the stego image. III level contourlet is exploited in this study. Contourlet is known for its ability to capture the intrinsic geometrical structure of an image. Here, the lowest frequency component of each leve...

Brain tumor detection in Magnetic Resonance Imaging (MRI) is important in medical diagnosis because it provides information associated to anatomical structures as well as potential abnormal tissues necessary for treatment planning and patient follow-up. In this paper a brain tumour Detection and Classification System is developed. The image processing techniques such as preprocessing, image enh...

Osteoporosis can be identified by looking at 2D x-ray images of the bone. The high degree of similarity between images of a healthy bone and a diseased one makes classification a challenge. A good bone texture characterization technique is essential for identifying osteoporosis cases. Standard texture feature extraction techniques like Local Binary Pattern (LBP), Gray Level Cooccurrence Matrix ...