Computational Intelligence-based Semantic Image Background Identification using Colour-Texture Feature

Image Segmentation using Texture Feature

This paper presents the image segmentation using the feature-based image segmentation tool. For segmentation, prior Watershed Transform tool was used. In this tool, to perform segmentation, additional techniques are required such as Distance Transform, Gradient. In FBIS technique engaging visual descriptors of images are known as Features. Any rule that captures the desired information from an ...

Image Texture Prediction Using Colour Photometric Stereo

The purpose of this work is to analyse what happens to the surface information when the image resolution is modi ed. We deduce how the surface texture appears if seen from di erent distances. Using Colour Photometric Stereo a method for predicting how surface texture looks like when changing the distance of the camera is presented. We use this technique on the recognition of textures seen from ...

Query by Image Content System Based On Colour and Texture Feature of Image

The amount of images or the pictorial data is growing day by day with the expansion of internet services. As the network and development of multimedia technologies are becoming more popular, users are not satisfied with the traditional information retrieval techniques. So nowadays the Query by Image Content (QBIC) is becoming a source of exact and fast retrieval. It is very difficult for the us...

Visual Feature Based Image Retrieval Using Color and Texture

The purpose of this paper is to describe the research and solution to the problem of designing Visual Feature Based Image Retrieval system. Due to the enormous increase in image database sizes, as well as its vast deployment in various applications, the need for VFBIR development arose. The increased need of visual feature based image retrieval technique can be found in a number of different do...

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models