Nowadays, overseas commerce has increased drastically in many countries. Plenty fruits are imported from the other nations. Manual identification of defected fruit is very time consuming. The proposed paper presents defect segmentation of fruits based on surface color features with unsupervised K-Means clustering and Fuzzy C-Means algorithms. As the first step, the digital color images of defec...

Key factors like similarity, proximity, and good Many researchers have mentioned the significance of perceptual grouping and organization in vision and listed various continuation that guide to visual grouping of image. However, even to the present situation, many of the computational factors of perceptual grouping have remained unanswered. As there are several probable partitions of the domain...

In contrast with the problem of phantom colors which fails the slow spatial variation along the edges results in the poor clustering of pixels from the color image science.[1] In this paper color clustering results are improved using an hybrid approach where we are combining the benefits of bilateral filter with an improved ant based clustering algorithm. Bilateral filter is a non iterative, lo...

The use of Fuzzy Adaptive Resonance Theory (FA) is explored for the unsupervised color quantization of a color image. The red, green and blue color component values of a given color image are passed as input instances into FA which then groups similar colors into the same class. The average of all of the colors in a given class then replaces the pixel values whose original colors belonged to th...

This paper focuses on a novel framework for information retrieval of images based only on color information. Regions homogeneous in color of the input image are detected using a multiresolution analysis. In order to avoid the selection of regions having similar color, a new clustering scheme based on repulsion between electric charges, is proposed. The resulting model is completely automatic an...

A fuzzy logic-based color histogram analysis technique is presented for discriminating benign skin lesions from malignant melanomas in dermoscopy images. The approach extends previous research for utilizing a fuzzy set for skin lesion color for a specified class of skin lesions, using alpha-cut and support set cardinality for quantifying a fuzzy ratio skin lesion color feature. Skin lesion disc...