35 results for “Shape Recognition”

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Research ArticleOpen accessIn the abstractCLASSIFICATION OF DIGITAL IMAGES USING FUSION ELEVATED ORDER CLASSIFIER IN WAVELET NEURAL NETWORKR. Arulmurugan, P. SengottuvelanThe revival of wavelet neural networks obtained an extensive use in digital image processing. The shape representation, classification and detection play a very important role in the image analysis. Boosted Greedy Sparse Linear Discriminate Analysis (BGSLDA) trains the cascade level of detection in an efficient manner. With the application of reweighting concept and deployment of class-reparability criterion, lesser search was … …Journal of Computer Science, Vol. 10, Issue 9 · 23 Jun 2014 · 6,790 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAssessment of Taxonomic Affinity of Indonesian Pummelo (Citrus maxima (Burm.) Merr.) Based on Morphological CharactersRatna Susandarini, Siti Subandiyah, Rugayah et al.Citrus maxima is a tropical fruit species with high morphological variability on fruit characters, including shape, size, thickness of peel, flesh color and taste. This variability has been used by breeders and common people to practically distinguish different pummelo cultivars. Despite such well known variation, so far there is no published study specifically addressed the extent of phenotypic variability and … …American Journal of Agricultural and Biological Sciences, Vol. 8, Issue 3 · 4 Sep 2013 · 8,538 accessesView PDF Cite

Research ArticleOpen accessIn the abstractCondition Monitoring and Diagnosis of Faults in the Electric Induction MotorA. Medoued, A. Metatla, A. Boukadoum et al.Problem statement: The diagnosis of failures in the induction machine, when it is implemented effectively and whether it allows detecting early deterioration of the system, represents a means to help achieve better productivity. Approach: Primary purpose was to detect and locate a possible malfunction of equipments. In this study we developed a method using the three phase-biphase transformation (shape recognition), … …American Journal of Applied Sciences, Vol. 6, Issue 6 · 30 Jun 2009 · 6,773 accessesView PDF Cite

Review ArticleOpen accessAll words, across the recordProtein Sequences Features Extraction for Predicting Beta- Turns and their Types: A ReviewMurtada Khalafallah Elbashir ElfakiBeta-turns are considered to be important secondary structure types that have essential role in molecular recognition, protein folding and stability. They represent 25% of protein structures, therefore they are the most common type of non-repetitive or tight turns structures. Their prediction is considered to be an important issue in bioinformatics and molecular biology, because it provides valuable information and inputs … …Journal of Computer Science, Vol. 15, Issue 9 · 1 Oct 2019 · 7,694 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordPrincipal Component Analysis Based Feature Extraction, Morphological Edge Detection and Localization for Fast Iris RecognitionM. Suganthy, P. RamamoorthyThis study involves the Iris Localization based on morphological or set theory which is well in shape detection. Principal Component Analysis (PCA) is used for preprocessing, in which the removal of redundant and unwanted data is done. Applications such as Median Filtering and Adaptive thresholding are used for handling the variations in lighting and noise. Features are extracted using Wavelet … …Journal of Computer Science, Vol. 8, Issue 9 · 9 Aug 2012 · 7,748 accessesView PDF Cite