In this paper, an unsupervised segmentation method using clustering is presented for color images. We propose to use a neural network based approach to automatic feature selection to achieve adaptive segmentation of color images. With a self-organizing feature map (SOFM), multiple color features can be analyzed, and the useful feature sequence (feature vector) can then be determined. The encode...

introduction:.color is the first quality attribute of food evaluated by consumers, and is therefore an important quality component of food which influences consumer’s choice and preferences (maguire, 1994). color measurement of food products has been used as an indirect measure of other quality attributes such as flavor and contents of pigments because it is simpler, faster and correlates well ...

In this paper, we introduce a new approach to identify people in multi-camera based on AdaBoost descriptors cascade. Given the complexity of this task, we propose a new regional color feature vector based on intra and inter color histograms fusion to characterize a person in multi-camera. This descriptor is, then, integrated into an extensive comparative study with several existing color, textu...

This paper has a further exploration and study of visual feature extraction. Image retrieval based on multi-feature fusion is achieved by using normalized Euclidean distance classifier. According to the HSV (Hue, Saturation, Value) color space, the work of color feature extraction is finished, the process is as follows: quantifying the color space in non-equal intervals, constructing one dimens...

In order to improve the recognition accuracy of cucumber diseased image, a new method based on image preprocessing and extraction of texture feature had been proposed, which making full use of color information included in cucumber image. At first, vector median filter for color images was applied to remove noise, and then chromaticity moments were extracted as texture feature. Experimental res...

This paper presents an integrated approach to unconstrained face recognition in arbitrary scenes. The front end of the system comprises of a scale and pose tolerant face detector. Scale normalization is achieved through novel combination of a skin color segmentation and log-polar mapping procedure. Principal component analysis is used with the multi-view approach proposed in [10] to handle the ...

Due to digitization of technology there is a large volume digital images available. In recent years, CBIR is a research field which includes quickly search field of images from large database. Among all the types available of CBIR technology, color based image retrieval is growing area of interest. The technique mentioned in this paper is to develop Support Vector Machine based classification s...

This paper proposes a novel method, based on Full Range Autoregressive (FRAR) model with Bayesian approach for color image retrieval. The color image is segmented into various regions according to its structure and nature. The segmented image is modeled to RGB color space. On each region, the model parameters are computed. The model parameters are formed as a feature vector of the image. The Ho...

In this paper, an effective content-based visual image retrieval system is presented. This system consists of two main components: visual content extraction and indexing, and query engine. Each image in the image database is represented by its visual features: color and spatial information. The system uses a novel color label histogram with only thirteen bins to extract the color information fr...