The purpose of this study is to investigate the approaches applied to analyze solid oxide fuel
cell (SOFC) microstructural properties. Both manual and automated image processing …

Content Based Image Retrieval (CBIR) is a process in which for a given query image, similar
images will be retrieved from a large image database based on their content similarity. The …

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----------------Content-Based Image Retrieval (CBIR) systems have been used for the …

The image retrieval problem has recently become more important and necessary because of
the rapid growth of multimedia databases and digital libraries. Different search engines use …

Existence of countless digital images has given rise to image retrieval in many applications.
Conventional image databases being text-annotated pose two major problems of keywords …

Content-based image retrieval system has shown a massive growth in the past decades.
Content Based Image Retrieval (CBIR) is a technique which uses visual features of image …

Texture is a dominant tool for feature extraction. Incorporation of inter-channel chromatic
information along with the texture feature will improve the accuracy of feature extraction. This …

Abstract We propose Content-Based Image Retrieval (CBIR) system using local RGB colour
and texture features. Firstly, the image is divided into sub-blocks, and then the local features …

ABSTRACT The Content Based Image Retrieval System (CBIR) is a system, which retrieves
the similar images from an image collection based on visual features such as color, texture …

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