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Dimensionality reduction is an important preprocessing step of the hyperspectral images classification (HSI), it is inevitable task. Some methods use feature selection or extraction algorithms based on spectral and spatial information. In this paper, we introduce a new methodology for...
Diabetic retinopathy (i.e., DR), is an eye disorder caused by diabetes, diabetic retinopathy detection is an important task in retinal fundus images due the early detection and treatment can potentially reduce the risk of blindness. Retinal fundus images play an important role in diabetic...
Post-processings are usually necessary to reduce false detections on vehicles in wide-area aerial imagery. In order to improve the performance of vehicle detection, we propose a two-stage scheme, which consists of a thresholding method by constructing a pixel-weight based thresholding policy to...
Breast Cancer can be said as a malignant growth of cells in the breast which can affect other parts of the body if left untreated. The use of Computer Assisted Diagnosis is that it provides the pathologist more accurate diagnosis information and helps to reduce the limitations of human...
Content based image retrieval (CBIR) is a system that retrieves a set of images that most resembles the query image. The technology is used in many applications. Currently used image content retrieval method is ordered-dither block truncation coding (ODBTC). This method is used to produce image...
The conventional paradigm of system identification utilises prior information on system structures and environments and input/output observation data to explain the designs of systems. Large improvement and research on its methods, algorithms, theoretical foundation, applications and...
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