In this paper a novel approach for generalized image retrieval based on semantic contents
is presented. A combination of three feature extraction methods namely color, texture, and …

Mining Techniques. This Paper includes the features of four techniques I, e Color Histogram,
Color moment, Texture, and Edge Histogram Descriptor. The nature of the Image is basically …

In this paper a generalized approach for image retrieval based on semantic contents is
presented. The method presents feature extraction techniques namely color and texture …

With advancement in the modern era, digital data is the new asset. Now making large image
datasets is not that laborious task with improvement in image collection and data storage …

In this paper, the problem of content based image retrieval in dynamic environment is
addressed. It is not feasible for systems that analyze images in real-time where the images …

Adopting effective model to access the desired images is essential nowadays with the
presence of a huge amount of digital images. The present paper introduces an accurate and …

Extensive digitization of images, paintings, diagrams and explosion of World Wide Web
(www), has made traditional keyword based search for image, an inefficient method for …

This paper gives an overview idea of retrieving images from a large database. CBIR is used
for automatic indexing and retrieval of images depending upon contents of images known as …

Due the rapid growth in the area of Digital Image Processing the semantic based techniques
are also been emerged for an efficient processing. In order to achieve an efficient result; this …

Content based image retrieval is an active area of research for more than a decade. In this
paper, we have proposed an effective way of extracting color, texture, and shape features …