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Titlebook: Intelligent Systems Technologies and Applications 2016; Juan Manuel Corchado Rodriguez,Sushmita Mitra,El-S Conference proceedings 2016 Spr

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31#
發(fā)表于 2025-3-27 00:47:58 | 只看該作者
MRI/CT IMAGE FUSION USING GABOR TEXTURE FEATUREScombine information from different images in the output fused image without adding artefacts. The output has to contain all information form the individual images without introducing artifacts. In images that contains more textural properties, it will be more effective in terms of fusion, if we incl
32#
發(fā)表于 2025-3-27 04:56:45 | 只看該作者
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發(fā)表于 2025-3-27 07:21:42 | 只看該作者
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發(fā)表于 2025-3-27 12:35:55 | 只看該作者
35#
發(fā)表于 2025-3-27 16:28:48 | 只看該作者
Performance Analysis of Human Detection and Tracking System in Changing Illumination is the first step in many complex computer vision algorithms like human activity recognition, behavior understanding and emotion recognition. Changing illumination and background are the main challenges in object/human detection and tracking. We have proposed and compared the performance of two alg
36#
發(fā)表于 2025-3-27 18:51:30 | 只看該作者
37#
發(fā)表于 2025-3-28 00:12:23 | 只看該作者
Semi-Supervised FCM and SVM in Co-Training Framework for the Classification of Hyperspectral Imagesproblems due to availability of few numbers of labeled samples. In the recent years, semi-supervised classification methods are used in many ways to solve the problem of labeled samples for the hyperspectral image classification. In this Article, semi supervised fuzzy c-means (FCM) and support vecto
38#
發(fā)表于 2025-3-28 02:27:20 | 只看該作者
Segmentation of Thermal Images Using Thresholding-Based Methods for Detection of Malignant Tumourscation of thresholding-based segmentation methods on thermal images of skin cancer and analysis of the obtained results for identification of those algorithms that are superior in performance for identification of malignancy and for extracting the ROI (Region Of Interest). Global thresholding method
39#
發(fā)表于 2025-3-28 06:44:51 | 只看該作者
40#
發(fā)表于 2025-3-28 10:30:28 | 只看該作者
Image And Pixel Based Scheme For Bleeding Detection In Wireless Capsule Endoscopy Imagessed. For computer-aided diagnosis of bleeding detection in Wireless Capsule Endoscopy (WCE), the most efficient choice among these remains still a problem. In this work, different types of Gastro intestinal bleeding problems: Angiodysplasia, Vascular ecstasia and Vascular lesions detected through WC
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