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Titlebook: Soft Computing Techniques in Vision Science; Srikanta Patnaik,Yeon-Mo Yang Book 2012 Springer-Verlag GmbH Berlin Heidelberg 2012 Computati

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A Comparative Analysis on Edge Detection of Colloid Cyst: A Medical Imaging Approach,s the effective performance. In current research, the medical diagnosis as well as the medical data analysis is most challenging job, as it is very complex task. The complexity is tried to reduced by the help of image processing in this approach. Colloidal Cyst, located in the third ventricle of the
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Automatic Localization and Segmentation of Left Ventricle from Short Axis Cine MR Images: An Image nput. Initial estimate of the heart region, relies on temporal variation of intensity values over one cardiac cycle along with the prior knowledge on spatial geometry. The estimated region is threshold and a sequence of morphological operations applied to crop the region of interest. Level set based
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Performance Analysis of Neural Network and ANFIS in Brain MR Image Classification,r large amounts of data and is also non-reproducible. MR images always contain a noise caused by operator performance which leads to serious inaccurate classification. Hence automated classification is preferred for accuracy. The use of artificial intelligence techniques, for instance, neural networ
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Artificial Neural Network (ANN) Based Object Recognition Using Multiple Feature Sets,objective is to configure and train an ANN to be capable of recognizing an object using a feature set formed by Principal Component Analysis (PCA), Frequency Domain and Discrete Cosine Transform (DCT) components. The idea is to use these varied components to form a unique hybrid feature set so as to
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Application of Ant Colony Algorithm for Classification and Rule Generation of Data,Ant Colony Algorithm-based Data Miner). The goal of Ant-Miner is to extract classification rules from data. The algorithm is inspired by both research on the behavior of real ant colonies and some data mining concepts and principles. In this paper the application of Ant Miner Algorithm for classific
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Immunised Navigational Controller for Mobile Robot Navigation,nition of foreigners, anomaly detection, distributed detection, noise tolerance, reinforcement learning and memory. Previous research work has proved that AIS model can apply to behavior-based robotics, but implementation of idiotypic selection in these fields are very few. The present research aims
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