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Now-a-days, providing a platform, where customers can obtain first-hand assessments of product information and manufacturers can collect customers reviews cum feedbacks to improve the product quality, is the prime need of any organization. These reviews are the people's opinion about particular product. Every website has reviews of their product and those reviews are difficult to analyze. Thus, the...
Stereo image matching is one of the research areas in computer vision. In stereo image matching, technological developments advances from area based matching techniques to the feature based matching techniques. In this paper, we present a Harris corner detection algorithm for stereo image feature matching. This is an intensity based feature matching algorithm and it controls the strong and weak corners...
This paper gives a new method for image feature extraction named “Fuzzy Block Truncation Coding”. Performance of Fuzzy Block Truncation Coding for classification with different methods of pre-processing, in various color spaces is analyzed. Fuzzy Block Truncation Coding is used to extract features from images in different color spaces such as RGB, YUV, YCrCb, HSV and LUV. Different classifiers such...
Now-a-days, Denial of Service (DOS) attacks are emerging as most dangerous threat for variety of inter-connected web servers. Internet users require internet for performing different task such as online activities like general information surfing, online banking etc. DOS attack averts the users from using these amenities hence, it is essential to detect DOS attack. This paper demonstrates a novel...
In today's era of communication we continuously come across well-organized interconnected systems like net servers, database files servers, cloud computing servers etc. These servers continuously handle in/out data queries and reply them considering each query as honest call. But these servers are under the danger of Denial of Service also known as (DOS) attack. DOS attack hampers the working efficiency...
Texture segmentation is one of the most challenging problems in the field of image segmentation. Segmenting multi-textured image into different classes of textured region with a minimum rate of misclassification is a challenging issue. This paper proposes a framework for improving misclassification rate by using ICA for designing filter bank and Ant Tree Clustering algorithm, inspired by the self...
Varying illumination condition make face recognition a challenging issue. In this paper, we propose a novel approach for solving this problem by performing three steps: 1) illumination normalization that normalizes the images using pre-processing chain of Gamma Correction, Difference of Gaussian and Contrast Equalization; 2) local tetra patterns (LTrPs) for texture based face representation; and 3)...
In the era of Internet and rapid growth of social networking, influence on the decision making process may impact and vary from one individual to another. Blogs, Posts, tweets etc have changed the means of communication and made the web a more attractive source of communication for sharing views. With the passage of time and the growth in e-commerce, a new web world needs to be developed where users...
In the modern era, with the explosive growth of image databases, huge amount of image and video archive led to rise of a new research and development of efficient method to searching, locating and retrieving of image. For this purpose, an efficient tool for searching, locating and retrieval of image is required. This paper presenting a survey on low level feature description techniques for Content...
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