SLIDE 1
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 - - 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
SLIDE 2
SLIDE 3
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?
SLIDE 4
AGENDA
SLIDE 5
EDGE DETECTION
Edge Detection Algorithm
SLIDE 6
LOCAL BINARY PATTERN: HISTOGRAM MATCHING
Pixel Neighborhood Binary Representation
SLIDE 7
REGION GROWING
SLIDE 8
CO-OCCURRENCE MATRIX
SLIDE 9
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
SLIDE 10