This paper describes two classic style methods to analyze and segment the color space. The RGB space method includes color space pyramiding, low-pass filtering, 3-D object labeling and property calculation to acquire a proper number of colors and a good initial estimate of center positions, then fuzzy cmeans algorithm can be used to optimally cluster the color space distribution points. The sec...

A modern approach to manage multimedia databases is content-based retrieval. Especially in image databases graphical features like color, texture or shape can be used efficiently instead of expensive manual annotations. Due to the large number of image archives and the enormous costs of annotations it is most important to extract adequate features automatically by means of digital image process...

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...

The paper present a neuroevolutionary method of monochrome and color images enhancement. The proposed method is based on local-adaptive approach to processing color components of image. Neural network is tuned to perform enhancement of particular image using genetic algorithm with use of the generalized image evaluation criterion that relies on the contrast degree of the processed image.

The physiology of human visual perception helps explain different uses for color and luminance in visual arts. When visual fields are isoluminant, they look the same to our luminance processing pathway, while potentially looking quite different to the color processing path. This creates a perceptual tension exploited by skilled artists. In this paper, we show how reproducing a target color usin...

In this paper we present a sharpening operator for color images that is based on perceptual considerations about how human visual behaves for color scenes. Color contrast is an induction phenomenon of the visual system that varies the chromaticity of a color region depending on the color of its surround, provoking an enhanced perception of color scenes. This effect can be simulated by a sharpen...

A robust classification algorithm that applies color science and image processing techniques is developed to automatically identify the pH level on a test strip. This algorithm is implemented on a camera phone that captures color images of pH test strips for healthcare or medical purpose. The pre-installed and platform independent program in the camera cell phone then processes the images capt...

Digital image processing has been applied to diverse industry disciplines. The wide application of digital image processing can be attributed to the following advantages: accuracy, objectivity, fastness, consistency, and the mixture of them. Although the RUst Defect Assessment(RUDA) method [1] was efficiently used to differentiate defective images from non-defective images on blue color coat, i...

In this correspondence, we propose a novel class of learning vector quantizers (LVQ’s) based on multivariate data ordering principles. A special case of the novel LVQ class is the median LVQ, which uses either the marginal median or the vector median as a multivariate estimator of location. The performance of the proposed marginal median LVQ in color image quantization is demonstrated by experi...