Abstract Traditionally, content based image retrieval was based on the representation of the image content through the firstorder or second-order distribution of some features thought to be relevant for the image description. Luminance, color (expressed in various color representation systems), edge strength and textural features were intensively used (independently or jointly) during the last ...

Hartley, Cosine, Slant and Haar Transforms for Grayscale Image Colorization Using Thepade‟s Transform Error Vector Rotation(TTEVR) Algorithms of Vector Quantization in YIQ, RGB and YCbCr color spaces are compared here for color pallet(codebook) size 32, 64, 128, 256 and 512. Here a color pallet is produced from reference(color) image from which color traits need to be taken using vector quantiz...

Some algorithms of feature extraction in existing literature studied for image processing was the gray image with one-dimensional parameter. However, some feature points’ extraction for three-dimensional color of polar image, such as the color edge extraction, inflection points, and so on, was urgently to be solved a polar color problem. For achieving quickly and accurately the color feature ex...

An important problem in color-based image retrieval and video segmentation is to lack information about how color is spatially distributed. To solve this problem and enhance the performance of image and video analyses, a spatial color descriptor is proposed involving a color adjacency histogram and color vector angle histogram. The color adjacency histogram represents the spatial distribution o...

Color image segmentation is a very emerging research topic in the area of color image analysis and pattern recognition. Many state-of-the-art algorithms have been developed for this purpose. But, often the segmentation results of these algorithms seem to be suffering from missclassifications and over-segmentation. The reasons behind these are the degradation of image quality during the acquisit...

in this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. the precision-recall measure and the correct classification rate of the k-nn classifier are used to evaluate retrieval and classification performances, respectively. the experimental results for a database of 1000 images from 10 different semantic gro...

In this paper, we propose a mathematical model for color image processing. It is a logarithmical one. We consider the cube (-1,1) 3 as the set of values for the color space. We define two operations: addition + and real scalar multiplication . With these operations the space of colors becomes a real vector space. Then, defining the scalar product (.|.) and the norm || . ||, we obtain a (lo...

With the development of image sensor technology, multi-sensor image fusion technology emerged and was widely used in the field of military surveillance, medical diagnosis, remote sensing, intelligent robot and so on. However, the current image fusion technology mainly focuses on the research of gray images, the color image fusion is rarely. Because color image contains more information compared...

This study aims to increase the retrieval efficiency of proposed image retrieval system on the basis of color content. A new idea of feature extraction based on color perception histogram is proposed. First, the color histogram is constructed for HSV image. Secondly, the true color and grey color components are identified based on hue and intensity. The weight for true and grey color components...

This paper presents a new moment-preserving thresholding technique, called the binary quaternion-moment-preserving (BQMP) thresholding, for color image data. Based on representing color data by the quaternions, the statistical parameters of color data can be expressed through the definition of quaternion moments. Analytical formulas of the BQMP thresholding can thus be determined by using the a...