Soft Computing Techniques in Vision Science

• Corporate Author: SpringerLink (Online service)
• Other Authors: Patnaik, Srikanta (Editor), Yang, Yeon-Mo (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
• Series: Studies in Computational Intelligence, 395
• Subjects: Engineering.; Image processing.; Computational intelligence.; Computational Intelligence.; Image Processing and Computer Vision.

This Special Edited Volume is a unique approach towards Computational solution for the upcoming field of study called Vision Science. From a scientific firmament Optics, Ophthalmology, and Optical Science has surpassed an Odyssey of optimizing configurations of Optical systems, Surveillance Cameras...

Table of Contents:

• From the content: Genetic Algorithm Based Fuzzy Frequent Pattern Mining from Gene Expression Data
• Prediction of Protein Tertiary Structure Using Genetic Algorithm
• Hybrid Image mining Methods to Classify the Abnormality in Complete Field Image Mammograms Based on Normal Regions
• Handwritten Script Recognition using DCT, Gabor Filter and Wavelet Features at Line Level
• Character Recognition using 2D View and Support Vector Machine
• Automatic localization of pupil using histogram thresholding and region based mask filter.