Titlebook: Hybrid Soft Computing for Image Segmentation; Siddhartha Bhattacharyya,Paramartha Dutta,Goran Kl Book 2016 Springer International Publishi

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Extraction of Knowledge Rules for the Retrieval of Mesoscale Oceanic Structures in Ocean Satellite ures (MOS) play an essential role. In this chapter we will present the tool developed in our group in order to extract knowledge rules for the retrieval of MOS in ocean satellite images. We will describe the implementation of the tool: the . associated with the tool, the ., the ., and the . of the t

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Hybrid Uncertainty-Based Techniques for Segmentation of Satellite Imagery and Applications,t the same properties like; dim levels, mean qualities, or text-related characteristics. The pictures are divided into locales which best speak to the important articles in the scene. Locale parameters, for example, territory, shape, measurable parameters, and surface can be extricated and utilized

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Improved Human Skin Segmentation Using Fuzzy Fusion Based on Optimized Thresholds by Genetic Algorie the large number of methods available in the literature, accurate skin segmentation is still a challenging task. Many methods rely only on color information, which does not completely discriminate the image regions due to variations in lighting conditions and ambiguity between skin and background

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Uncertainty-Based Spatial Data Clustering Algorithms for Image Segmentation,cessing and pattern recognition, medical diagnosis, and geographical information systems, only to name a few. Data in real-life scenario are having imprecision inherent in them. So, early crisp clustering techniques are very less efficient. Several imprecision-based models have been proposed over th

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