BINARY G GENE NETIC P PROGRAMMI MING B BASED TEXTURE S SEGMENT - PowerPoint PPT Presentation

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BINARY G GENE NETIC P PROGRAMMI MING B BASED TEXTURE S SEGMENT NTATION PROBLEM DEFINITION Texture segmentation with high accuracy is required for remote sensing and medical image analysis as it could be matter of life or death

BINARY G GENE NETIC P PROGRAMMI MING B BASED TEXTURE S SEGMENT NTATION
PROBLEM DEFINITION  Texture segmentation with high accuracy is required for remote sensing and medical image analysis as it could be matter of life or death  Current methods accuracy is Poor
RESEARCH QUESTIONS  How is genetic programming performance compared to traditional methods of texture segmentation?  How rich would genetic programming results will be to an ensemble of methods?  Will utilizing multi genetic classifiers and a voting scheme will enhance genetic programming performance?
AGENDA
EDGE DETECTION Edge Detection Algorithm
LOCAL BINARY PATTERN: HISTOGRAM MATCHING Pixel Neighborhood Binary Representation
REGION GROWING
CO-OCCURRENCE MATRIX
LAW’S ENERGY MEASUREMENT • • L5 (Gaussian) gives a center-weighted S5 (LOG) detects spots • local average R5 (Gabor) detects ripples • E5 (Gradient) responds to row or col step edges
LAW’S ENERGY MEASUREMENT

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