Stochastic segmentation on images with uncertain data

Ambrosio-Tortorelli Segmentation of Stochastic Images

We present an extension of the classical Ambrosio-Tortorelli approximation of the Mumford-Shah approach for the segmentation of images with uncertain gray values resulting from measurement errors and noise. Our approach yields a reliable precision estimate for the segmentation result, and it allows to quantify the robustness of edges in noisy images and under gray value uncertainty. We develop ...

Segmentation of Noisy Digital Images with Stochastic Gradient Kernel

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Spatial Reasoning with Uncertain Data Using Stochastic Relaxation

Multi Resolution Fuzzy Segmentation of Satellite Images

Performance Analysis of Segmentation of Hyperspectral Images Based on Color Image Segmentation

Image segmentation is a fundamental approach in the field of image processing and based on user’s application .This paper propose an original and simple segmentation strategy based on the EM approach that resolves many informatics problems about hyperspectral images which are observed by airborne sensors. In a first step, to simplify the input color textured image into a color image without tex...