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Research ArticleOpen accessEvery word in the titleAN EFFICIENT/ENHANCED CONTENT BASED IMAGE RETRIEVAL FOR A COMPUTATIONAL ENGINEK. V. Shriram, P. L.K. Priyadarsini, Kaushik Velusamy, A. BalachandranA picture or image is worth a thousand words. It is very much pertinent to the field of image processing. In the recent years, much advancement in VLSI technologies has triggered the abundant availability of powerful processors in the market. With the prices of RAM are having come down, the databases could be used to store information on the about … …Journal of Computer Science, Vol. 10, Issue 2 · 13 Nov 2013 · 7,266 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleWAVELET BASED CONTENT BASED IMAGE RETRIEVAL USING COLOR AND TEXTURE FEATURE EXTRACTION BY GRAY LEVEL COOCURENCE MATRIX AND COLOR COOCURENCE MATRIXJeyanthi Prabhu, Jawahar Senthil KumarIn this study we proposes an effective content based image retrieval by color and texture based on wavelet coefficient method to achieve good retrieval in efficiency. Color feature extraction is done by color Histogram. The texture feature extraction is acquired by Gray Level Coocurence Matrix (GLCM) or Color Coocurence Matrix (CCM). This study provides better result for image retrieval by … …Journal of Computer Science, Vol. 10, Issue 1 · 7 Nov 2013 · 7,627 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn integrated Framework Based on Texture Features, Cuckoo Search and Relevance Vector Machine for Medical Image Retrieval SystemYogapriya Jaganathan, Ila VennilaAs medical images are widely used in healthcare applications, Content Based Medical Image Retrieval (CBMIR) system is needed for physicians to convey effective decisions to patients and for medical research students to learn imaging characteristics for their extensive research based on visual features. However the performance of the retrieval is restricted due to high feature dimensionality of visual features. To … …American Journal of Applied Sciences, Vol. 10, Issue 11 · 24 Sep 2013 · 6,878 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Hybrid Approach Based Medical Image Retrieval System Using Feature Optimized Classification Similarity FrameworkYogapriya Jaganathan, Ila VennilaFor the past few years, massive upgradation is obtained in the pasture of Content Based Medical Image Retrieval (CBMIR) for effective utilization of medical images based on visual feature analysis for the purpose of diagnosis and educational research. The existing medical image retrieval systems are still not optimal to solve the feature dimensionality reduction problem which increases the computational complexity … …American Journal of Applied Sciences, Vol. 10, Issue 6 · 6 Jun 2013 · 7,023 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleContent Based Medical Image Retrieval using Binary Association RulesAkila, Uma MaheswariIn this study, we propose a content-based medical image retrieval framework based on binary association rules to augment the results of medical image diagnosis, for supporting clinical decision making. Specifically, this work is employed on scanned Magnetic Resonance brain Images (MRI) and the proposed Content Based Image Retrieval (CBIR) process is for enhancing relevancy rate of retrieved images. The pertinent … …Journal of Computer Science, Vol. 9, Issue 6 · 30 May 2013 · 6,548 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBi-Level Classification of Color Indexed Image Histograms for Content Based Image RetrievalKarpagam Vilvanathan, Rangarajan RangaswamyThis dissertation proposes content based image classification and retrieval with Classification and Regression Tree (CART). A simple CBIR system (WH) is designed and proved to be efficient even in the presence of distorted and noisy images. WH exhibits good performance in terms of precision, without using any intensive image processing feature extraction techniques. Unique indexed color histogram and wavelet decomposition … …Journal of Computer Science, Vol. 9, Issue 3 · 26 Apr 2013 · 6,438 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSelf Organizing Map Cluster Approach for Wavelet Based Medical Image CompressionS. Sridevi, V. R. Vijayakumar, V. Sutha JebaKumariDigital medical powerful tools for diagnosis, treatment and surgery and plays a vital role in modern healthcare delivery. Large storage capacity is needed for storing these images and for transmitting them. This leads to the strong demand for digital medical image compression and reliable transmission. In this study, we have applied three compression methods to medical images. In all the … …American Journal of Engineering and Applied Sciences, Vol. 5, Issue 4 · 2 Jan 2013 · 7,422 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDetection of Occluded Face Image using Mean Based Weight Matrix and Support Vector MachineG. Nirmala Priya, R. S.D. Wahida BanuProblem statement: Face occlusion is a very challenging problem in face recognition. The performance of face recognition system decreases drastically due to the presence of partial occlusion on the face. Extracting discriminative features to achieve accurate detection versus computational overhead in extracting the features, which affects the classification speed, would be a sustained problem. The objective of this study is … …Journal of Computer Science, Vol. 8, Issue 7 · 5 Jul 2012 · 7,043 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleContent Based Medical Image Retrieval with Texture Content Using Gray Level Co-occurrence Matrix and K-Means Clustering AlgorithmsB. Ramamurthy, K. R. ChandranProblem statement: Recently, there has been a huge progress in collection of varied image databases in the form of digital. Most of the users found it difficult to search and retrieve required images in large collections. In order to provide an effective and efficient search engine tool, the system has been implemented. In image retrieval system, there is no methodologies … …Journal of Computer Science, Vol. 8, Issue 7 · 24 May 2012 · 7,448 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImage Compression Algorithms Using Intensity Based Adaptive Quantization CodingSaad Al-Azawi, Said Boussakta, Alex YakovlevProblem statement: Low complexity image compression algorithms are necessary for modern portable devices such as mobile phones, wireless sensor networks and high constraint power consumption devices. In such applications low bit rate along with an acceptable image quality are an essential requirements. Approach: This study proposes low and moderate complexity algorithms for colour image compression. Two algorithms will be presented; … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 4 · 18 Jan 2012 · 8,496 accessesView PDFCite