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Titlebook: Computer Vision, Graphics and Image Processing; 5th Indian Conferenc Prem K. Kalra,Shmuel Peleg Conference proceedings 2006 Springer-Verlag

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樓主: quick-relievers
11#
發(fā)表于 2025-3-23 12:57:12 | 只看該作者
Aggregation Pheromone Density Based Image Segmentationhat causes clumping or clustering behavior in a species and brings individuals into a closer proximity is called aggregation pheromone. This paper presents a novel method for image segmentation considering the aggregation behavior of ants. Image segmentation is viewed as a clustering problem which a
12#
發(fā)表于 2025-3-23 15:02:20 | 只看該作者
13#
發(fā)表于 2025-3-23 19:19:12 | 只看該作者
14#
發(fā)表于 2025-3-24 00:40:39 | 只看該作者
An Improved ‘Gas of Circles’ Higher-Order Active Contour Model and Its Application to Tree Crown Extf a collection of circles, . tree crowns in remote sensing imagery; cells in biological and medical imagery. In [1], a model of such regions, the ‘gas of circles’ model, was developed based on higher-order active contours, a recently developed framework for the inclusion of prior knowledge in active
15#
發(fā)表于 2025-3-24 02:26:47 | 只看該作者
A New Extension of Kalman Filter to Non-Gaussian Priors, we propose a generalized methodology of specifying state dynamics using the conditional density of the states given its neighbors without explicitly defining the state equation. In other words, the typically strict linear constraint on the state dynamics imposed by the state equation is relaxed by
16#
發(fā)表于 2025-3-24 06:45:35 | 只看該作者
17#
發(fā)表于 2025-3-24 12:30:36 | 只看該作者
Speckle Reduction in Images with WEAD and WECD Complex Diffusion (WECD). Both these methods are improvements over anisotropic and complex diffusion by adding wavelet based bayes shrink in its second stage. Both WEAD and WECD produces excellent results when compared with the existing speckle reduction filters. The comparative analysis with other
18#
發(fā)表于 2025-3-24 16:33:16 | 只看該作者
19#
發(fā)表于 2025-3-24 21:55:16 | 只看該作者
Significant Pixel Watermarking Using Human Visual System Model in Wavelet Domain by embedding multiple copies of the watermark.The proposed method locates and watermarks ‘significant pixels’ of the image in the wavelet domain. Here, the amount of distortion at every pixel is kept within the threshold of perception by adopting ideas from Human Visual System (HVS) model. The robu
20#
發(fā)表于 2025-3-25 03:10:57 | 只看該作者
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