Successful halo-model descriptions of the luminosity dependence of clustering distinguish between the central galaxy in a halo and all the others (satellites). To include colors, we provide a prescription for how the color-magnitude relation of centrals and satellites depends on halo mass. This follows from two assumptions: (i) the bimodality of the color distribution at fixed luminosity is ind...

through this paper we proposed the methodology that incorporates the K-means and fuzzy c means algorithm for the color image segmentation. The image segmentation may be defined as the process of dividing the given image into different parts. Here we are taking color image as the input and we are supposed to segment the given image on the basis of its color. The clustering algorithm also proved ...

Cortical area V4 in monkeys contains neurons that respond selectively to particular colors. It has been controversial how these color-selective neurons are spatially organized in V4. One view asserts that color-selective neurons are organized in columns with different colors orderly mapped across the cortex, whereas other studies have found no evidence for columnar organization or any other clu...

In this study, a Fuzzy Kohonen Clustering Network (FKCN) algorithm is proposed for color image segmentation. We study the ability of FKCN in color image segmentation; we compare the segmentation between a different color images. Experiments show that the proposed method can segment an image and robust performance to noise.

Shot boundary detection (SBD) is widely used in scene segmentation, semantic analysis, and video retrieval. However, existing SBD algorithms have certain applications processing, but they the following three problems. First, these cannot effectively handle shot boundaries caused by sudden lighting changes. Second, when there are dimly frames video, perform well. Third, object or camera motion a...