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 - - PowerPoint PPT Presentation

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


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BINARY G GENE NETIC P PROGRAMMI MING B BASED TEXTURE S SEGMENT NTATION

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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

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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?

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AGENDA

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EDGE DETECTION

Edge Detection Algorithm

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LOCAL BINARY PATTERN: HISTOGRAM MATCHING

Pixel Neighborhood Binary Representation

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REGION GROWING

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CO-OCCURRENCE MATRIX

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LAW’S ENERGY MEASUREMENT

  • L5 (Gaussian) gives a center-weighted

local average

  • E5 (Gradient) responds to row or col

step edges

  • S5 (LOG) detects spots
  • R5 (Gabor) detects ripples
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LAW’S ENERGY MEASUREMENT