We introduce a multimodal facial color imaging modality that provides a conventional color image, parallel and cross-polarization color images, and a fluorescent color image. We characterize the imaging modality and describe the image analysis methods for objective evaluation of skin lesions. The parallel and cross-polarization color images are useful for the analysis of skin texture, pigmentat...

This paper presents two content-based image retrieval algorithms that are based on image partitioning. The retrieval in the first algorithm is based only on the image color feature represented by the color histogram, while the retrieval in the second one is based on the image color and texture features represented by the color histogram and Haar wavelet transform, respectively. In these algorit...

In this chapter we intend to cover the basic aspects of color image compression. Basic aspects of color images can be found elsewhere in this book and compression details can also be easily found in the literature. Even though we give a very brief introduction to compression methods, we intend to explore the issues pertaining to the intersection of the two topics (compression and color) without...

Introduction: contrast sensitivity is one of the most important psychophysical tests that may be used for the evaluation of refractive state of eye and retinal image quality. Yellow vs. blue color contrast sensitivity may be more suitable in this regard. Materials and Methods: thirty myopic eyes were considered in this study. Yellow vs. blue color contrast sensitivity was evaluated under the sa...

Color has been widely used in content-based image retrieval systems. The problem with using color is that its representation is low level and hence its retrieval effectiveness is limited. This paper investigates techniques to improving the effectiveness of image retrieval based on colors. It examines the choice of suitable color space and color resolution. It describes two techniques for image ...

fuzzy segmentation is an effective way of segmenting out objects in images containing both random noise and varying illumination. in this paper, a modified method based on the comprehensive learning particle swarm optimization (clpso) is proposed for pixel classification in hsi color space by selecting a fuzzy classification system with minimum number of fuzzy rules and minimum number of incorr...

Image segmentation is a basic early vision problem which serves as precursor to many high level vision problems. Color image segmentation provides more information while solving high level vision problems such as, object recognition, shape analysis etc. Therefore, the problem of color image segmentation has been addressed more vigorously for more than one decade. Different color models such as ...

This paper investigates the effect of color channel replacement with histogram equalization. The histogram equalization is broadly employed for contrast intensification in a diverse of consumer electronics applications for its straightforward function. The proposed work is consists of seven steps, original given image, channel separation: color image to three gray scale image, color channel rep...