Automated Glacier Segmentation By Fast Adaptive Medoid Shift Algorithm Syed Zulqarnain Ahmad Gilani (книга)

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Syed Zulqarnain Ahmad Gilani - «Automated Glacier Segmentation By Fast Adaptive Medoid Shift Algorithm»

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An optimal approach to unsupervised colour image clustering is presented in this research which is suited for high resolution images based on mode seeking by mediod shifts. It is shown that automatic detection of total number of clusters depends upon overall image statistics as well as the bandwidth of the underlying probability density function. An optimized adaptive mode seeking algorithm based on reverse parallel tree traversal is proposed. This work has contribution in three aspects. 1) Adaptive bandwidth for kernel function is proposed; 2) A novel reverse parallel tree traversing approach for mode seeking is presented; 3) For high resolution images block clustering based optimized Adaptive Mediod Shift (AMS) is proposed. The proposed method has made it possible to perform clustering on variety of high resolution images. The proposed method is applied to automated glacier segmentation from 6 band Landsat TM sensor satellite images of... Это и многое другое вы найдете в книге Automated Glacier Segmentation By Fast Adaptive Medoid Shift Algorithm (Syed Zulqarnain Ahmad Gilani)

Полное название книги Syed Zulqarnain Ahmad Gilani Automated Glacier Segmentation By Fast Adaptive Medoid Shift Algorithm
Тип Книга
Автор Syed Zulqarnain Ahmad Gilani
Ключевые слова компьютерная литература, основы информатики общие работы
Категории Компьютеры и Internet
ISBN 9783844386264
Возрастное ограничение 18
Издательство
Год 2011
Название транслитом automated-glacier-segmentation-by-fast-adaptive-medoid-shift-algorithm-syed-zulqarnain-ahmad-gilani
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