Features such as edges and corners play an important role in visual data processing. The proposed research employs features to facilitate image segmentation, texture synthesis and visual data approximation. Edges capture primary color/intensity changes in an image, which can be utilized to accelerate image segmentation. In example-based texture synthesis, edges and ridges/valleys can also help ...

We propose a technique for the segmentation of images using both colour and texture information. This information is in the form of lowpass colour responses and sixteen Gabor texture lter responses. A self-organising feature map is trained to label any set of responses into appropriate categories. We quantify the success of the approach and assess the importance of colour and texture in the seg...

The objective of developing this software is to achieve auto-segmentation and tissue characterization. Therefore, the present algorithm has been designed and developed for analysis of medical images based on hybridization of syntactic and statistical approaches, using artificial neural network (ANN). This algorithm performs segmentation and classification as is done in human vision system, whic...

A novel approach utilized in video database objectbased queries is proposed. This new method segments an example video sequence into real world objects using a combination of color image segmentation techniques along with MPEG-1/2 motion vectors. First, the initial frame in the sequence undergoes a color/texture segmentation algorithm that divides the frame into homogenous regions of color and ...

A multiresolution texture segmentation (MTS) approach to image segmentation that addresses the issues of texture characterization, image resolution, and time to complete the segmentation is presented. The approach generalizes the conventional simulated annealing method to a multiresolution framework and minimizes an energy function that is dependent on the resolution of the size of the texture ...

Texture segmentation is an important task in image processing. The objective is to assign the same value to those pixels in an image which belong to the same texture. This is usually called pixel-classification. There exist two fundamental approaches to solve this task. The first and most general approach we call classification oriented by which we mean that the actual labeling is done by some ...

Medical image segmentation is a frequent processing step in image understanding and computer aided diagnosis. In this paper, we propose developing on the range operator in image segmentation using depending on dermatology infection. Three different block size are utilized on the range operator and the developing ones to enhance the behavior of the segmentation process of medical images. We prop...