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29 results for “texture feature extraction”
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Research ArticleOpen accessIn the abstractParallel Approach for Content Based Medical Image Retrieval SystemM. Emmanuel, D.R. Ramesh Babu, Jayashree Jagdale et al.Problem statement: Parallel implementation of a CBIR system for medical applications due to the rapid progress in the technologies for obtaining and storing digital images for diagnostic purposes in medicine. Approach: For feature extraction Wavelet decomposition was used for texture, global color histograms for color and novel wavelet based approach for shape feature extraction. The system had been implemented in … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 7,631 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeature Extraction for Characterization of Breast Lesions in Ultrasound Echography and ElastographyShirley Selvan, M. Kavitha, S. Shenbagadevi, S. SureshProblem statement: Elastography is developed as a quantitative approach to imaging linear elastic properties of tissues to detect suspicious tumors. We propose an automatic feature extraction method in ultrasound elastography and echography for characterization of breast lesions. Approach: The proposed algorithm was tested on 40 pairs of biopsy proven ultrasound elastography and echography images of which 11 are cystic, 16 … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 8,315 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Innovative Technique of Texture Classification and Comparison Based on Long Linear PatternsV. Vijaya Kumar, B. Eswara Reddy, U. S.N. Raju, K. Chandra SekharanThe present paper proposes a method of texture classification based on long linear patterns. Linear patterns of long size are bright features defined by morphological properties: linearity, connectivity, width and by a specific Gaussian-like profile whose curvature varies smoothly along the crest line. The most significant information of a texture often appears in the occurrence of grain components. That’s why … …Journal of Computer Science, Vol. 3, Issue 8 · 28 Aug 2007 · 6,720 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Squamous Cell Carcinoma Based On Color and Textural Features in Microscopic Images of Esophagus TissuesP. S. Hiremath, Y. Humnabad Iranna, Jagadeesh D. PujariThis paper presents a method for feature extraction using color and texture from microscopic images of esophagus tissues obtained from the abnormal regions of human esophagus detected through endoscopy. This method is used for classification of Squamous Cell Carcinoma (SCC) of esophagus, namely, poorly differentiated SCC, moderately differentiated SCC, and well differentiated SCC. Three different color spaces, namely, HSV, YCbCr, … …Journal of Computer Science, Vol. 3, Issue 7 · 31 Jul 2007 · 6,874 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Hybrid Metaheuristic Algorithm for Diseases Classification Using UAV ImagesYagnasree Sirivella, Anuj JainRecent advances in technology are very astounding since they have made it possible to manage and monitor systems remotely. Traditional farming is undergoing a transition towards "smart farming" with the assistance of technological breakthroughs, which include the implementation of intelligent irrigation systems and the remote monitoring of the development of crops. In particular, the Unmanned Aerial Vehicle plays a significant … …Journal of Computer Science, Vol. 19, Issue 10 · 11 Sep 2023 · 5,251 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordMedicinal Plant Identification using Gabor Filters and Deep Learning Techniques: A Paper ReviewStephen Opoku Oppong, Frimpong Twum, James Ben Hayfron-Acquah, Yaw Marfo MissahComputer-aided identification of plants is a branch of machine learning that has become more recognized recently and proves itself as a vital tool in numerous sectors including pharmacological science, forestry and agriculture. This has essentially generated a zeal in creating automated systems for the identification of diverse species of plants. This study reviewed plant species classification relying on leaf textural … …Journal of Computer Science, Vol. 17, Issue 12 · 24 Dec 2021 · 7,821 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Framework for MRI Image Retrieval Using Curvelet Transform and Euclidean DistanceRajakumar, MuttanContent Based Image Retrieval (CBIR) system supports users to retrieve relevant medical images based on their features. Current content based image retrieval systems are incapable of providing exact results to the users. To address this problem a consistent feature extraction method is required for content based medical image retrieval system to extract similar features from the images. In this study … …Journal of Computer Science, Vol. 9, Issue 3 · 12 Apr 2013 · 6,520 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordFish Recognition Based on Robust Features Extraction from Size and Shape Measurements Using Neural NetworkMutasem Khalil Alsmadi, Khairuddin Bin Omar, Shahrul Azman Noah, Ibrahim AlmarashdehProblem statement: Image recognition is a challenging problem researchers had been research into this area for so long especially in the recent years, due to distortion, noise, segmentation errors, overlap and occlusion of objects in digital images. In our study, there are many fields concern with pattern recognition, for example, fingerprint verification, face recognition, iris discrimination, chromosome shape discrimination, optical … …Journal of Computer Science, Vol. 6, Issue 10 · 5 Aug 2010 · 9,299 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAutomated Breast Cancer Diagnosis based on GVF-Snake Segmentation, Wavelet Features Extraction and Neural Network ClassificationAbderrahim Sebri, Jihène Malek, Rached TourkiBreast cancer accounts for the second most cancer diagnoses among women and the second most cancer deaths in the world. In fact, more than 11000 women die each year, all over the world, because this disease. The automatic breast cancer diagnosis is a very important purpose of medical informatics researches. Some researches has been oriented to make automatic the diagnosis … …Journal of Computer Science, Vol. 3, Issue 8 · 31 Aug 2007 · 7,407 accessesView PDFCite