Blind source separation problems emerge in many applications, where signals can be
modeled as superpositions of multiple sources. Many popular applications of blind source …

A learning approach to knowledge-assisted image analysis and classification is proposed
that combines global and local information with explicitly defined knowledge in the form of …

The challenge of abstract trademark image retrieval as a test of machine vision algorithms
has attracted considerable research interest in the past decade. Current operational …

In this paper, a novel approach is proposed for classification of near duplicate images based
on Fuzzy Support Vector Machine (FSVM). First, gray level co-occurrence matrix (GLCM) is …

In this paper, we investigate if rule-based systems are useful for image classification
problems when the number of classes is fixed. The rules are derived from simple edge …

In this paper, we show that simple edge characteristics in images, when judiciously
combined, can result in improved scene and object classification. Unlike existing methods …

In this paper we have proposed a new Image classification and Retrieval Scheme that
consists of the three phases:(i) Classification of images on the basis of maximum cross …