In this paper, we combine structure, color and texture for efficient image retrieval. Structure is extracted by the application of perceptual grouping principles. Color analysis is performed by mapping all pixels in an image into a fixed color palette that uses linguistic tags to describe color content. Texture analysis is done using a bank of evensymmetric Gabor filters. A methodology for perf...

BACKGROUND The quality of the materials used in Chinese medicine (CM) is generally assessed based on an analysis of their chemical components (e.g., chromatographic fingerprint analysis). However, there is a growing interest in the use of color metrics as an indicator of quality in CM. The aim of this study was to investigate the accuracy and feasibility of using color metrics and chemical fing...

Current approaches to color texture analysis can be roughly divided into two categories: methods that process color and texture information separately, and those that consider color and texture a joint phenomenon. In this paper, both approaches are empirically evaluated with a large set of natural color textures. The classiÿcation performance of color indexing methods is compared to gray-scale ...

This paper aims for color constant identification of object colors through the analysis of spectral color data. New computational color models are proposed which are not only invariant to illumination variations (color constancy) but also robust to a change in viewpoint and object geometry (color invariance). Color constancy and invariance is achieved by spectral imaging using a white reference...

Image segmentation is the initial step in image analysis and pattern recognition. Image segmentation refers to partitioning an image into different regions that are homogenous or similar in some characteristics. Color image segmentation attracts more and attention because color image color images can provide more information than gray level images. Basically, color image segmentation approaches...

In this paper, a novel color image hiding technique using spread grey-based competitive Hopfield neural network (SGHNN) and Hadamard Transform (HT) digital watermarking is proposed. The goal is to offer secure communications in the internet through compress the original color image and embedded into another disguise color image. Our method includes a spread-unsupervised competitive Hopfield neu...

the color images raise the level of educational by providing more detailed information; therefore, these images are believed to be effective in gaining a deeper understanding of the lessons. moreover, proper lighting enhances students’ learning and performance. this study aimed at assessing the impact of training color and light materials on elementary school girls’ attention and learning in pe...

We report on the development of dual-color photon-counting histogram (PCH) analysis. Dual-color PCH is an extension of regular PCH and considers the photon counts received in two detection channels instead of one. Because each detection channel records a different color, dual-color PCH distinguishes fluorescent species not only by differences in their brightness, but also according to their col...

The characterization, identification, and understanding of spatial patterns are central concerns of geography. Deeply rooted in the notion that geographic location matters, one testable assumption is that near things are more related than distant things—a concept often referred to as Tobler’s first law of geography. One means of quantifying this assumption is using measures of spatial autocorre...