Feature representation and classification algorithm are two important aspects for the task of image classification. Previous studies focused on using color histogram and/or texture as the features for representing an image. Support vector machines (SVM) have been among the most successful classification algorithms for image classification. In this paper, we examine a new type of representationa...

With the increase of the number of cameras installed across a video surveillance network, the ability of security staffs to attentively scan all the video feeds actually decreases. Therefore, the need for an intelligent system that operates as a tracking system is vital for security personnel to do their jobs well. Tracking people as they move through a camera network with non-overlapping field...

Colonoscopy is the gold standard for detection of colorectal polyps that can progress to cancer. In such an examination physicians search for polyps in endoscopic images. Thereby polyps can be removed. To support experts with a computer-aided diagnosis system, we compare different methods for automatic detection. Comparable to traditional pattern recognition systems, features are initially extr...

1451 ISSN: 2278 – 1323 All Rights Reserved © 2014 IJARCET Abstract— CBIR is a process of retrieve and display relevant images from large collection of image database on the basis of their visual content. CBIR is used for retrieval of images depending upon visual contents of images known as features. This paper focuses on color and texture based techniques for achieving efficient and effective r...

With the explosive growth in amount of information, it is highly required to utilize tools and methods in order to search, filter and manage resources. One of the major problems in text classification relates to the high dimensional feature spaces. Therefore, the main goal of text classification is to reduce the dimensionality of features space. There are many feature selection methods. However...

A technique for pyrography characteristic Simulation based on digital image is proposed. Firstly, a fast color characteristics transfer method based on local vector matching is used according to the similar feature of local region of image. Then, the color space is converted from RGB to Ruderman et al.’s perception-based color space lαβ, according to a certain standard, feature vector is obtain...

Color moments are measures that can be used to differentiate images based on their color. Once computed, these moments provide a measure for color similarity between images. This color similarity can become a measure of finding difference between consecutive frames in a video. Finding the difference between temporally arranged frames in video is one of the issues in shot boundary detection whic...

We explore a novel approach for human detection based on random color similarity feature (RCS) and random ferns classifier which is also known as semi-naive Bayesian classifier. In contrast to other existing features employed by human detection, color-based features are rarely used in vision-based human detection because of large intra-class variations. In this paper, we propose a novel color-b...

In this article, a new color feature extraction algorithm and a new hybrid color space is proposed in order to further enhance the color face recognition performance. First, it is searched the best combination way of color component images of the YIQ, the YCbCr, and the HSV color spaces transformed from RGB color space. Secondly it is decomposed by applying curvelet transform to each of color c...