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 ool. Additionally, the experimental results obtained with the tool in terms of fuzzy knowledge rules as well as labeled structures with these rules are shown. These results have been obtained with the tool analyzing chlorophyll and temperature images of the Canary Islands and North West African coast captured by the SeaWiFS and MODIS-Aqua sensors.

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A Novel Hybrid CS-BFO Algorithm for Optimal Multilevel Image Thresholding Using Edge Magnitude Infoachieved by supplementing levy flight feature of CS. Social foraging models are relatively efficient for determining optimum multilevel threshold values. Hence, CS-BFO is used for improved thresholding performance and highlighting the novelty of this contribution. We have also implemented other soft

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Microscopic Image Segmentation Using Hybrid Technique for Dengue Prediction,e desired outputs in all possible situations. A hybrid soft computing technique efficiently segments platelet and overcomes the shortcomings of the other two segmentation techniques. This technique is the combination of fuzzy c-means technique and adaptive network-based fuzzy interference system (AN

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Hybrid Uncertainty-Based Techniques for Segmentation of Satellite Imagery and Applications,tioned image. The applications of analysis of satellite imagery is plenty in real-life situations like weather forecasting, analysis of natural scenes, urban planning, environmental monitoring, object recognition, detection of mass wasting, etc. are well known. Several algorithms using classical app

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Improved Human Skin Segmentation Using Fuzzy Fusion Based on Optimized Thresholds by Genetic Algorihat will be used to extract appropriate seeds from the general probability and texture maps. Next, the GA is also applied to define thresholds for edge detectors aiming to improve edge connections. Finally, a fuzzy method for fusion is included where its parameters are optimized by GA during a learn

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Coronary Artery Segmentation and Width Estimation Using Gabor Filters and Evolutionary Computation nted. The experimental results using the SSG obtained the highest vessel detection performance with . with a training set of 40 angiograms. In addition, the segmentation results using the interclass variance thresholding method provided a segmentation accuracy of 0.941 with a test set of 40 angiogra

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