Motivation Segmentation System Overview Feature Extraction Matching
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Motivation Segmentation System Overview Feature Extraction Matching
image search? Personalized pill identification. Online public image databases. Segmentation. ⢠Using color clustering (K-Means, etc). ⢠Skin color detection.
ADSC Summer Intern Project 2010 Supervisor: Dr. Jiangbo Lu Co-supervisors: Dr. Dongbo Min, Prof. Minh N. Do Team members: M.Abbaspour, E.Asgari, S.Bagheri, P.Khanipour, S.Mahabadi, A.Vakilian
Motivation
Shape Feature Pill modeling using polygons
Which pill to take ? Functions and effects? Dosage?
Personalized pill identification Filter Points
cvApproxPoly()
Online public image databases
Replace the keyword search by image search?
Similarity between two shapes (our proposed method) Initial Key Points
System Overview
Iterative Key Point Elimination
query Test 1
Query Image
query
Segmentation
…
Test 2
Similarity [0, 1.0]
Number of points = 7
Similarity [0, 1.0]
Number of points = 3
Score = 0.9
Score = 0.3
…
Feature Extraction
Final Key Points Matched
It is rotation and scale invariant. Result Image
Matching
Match
Segmentation • • • •
Critical Features
Using color clustering (K-Means, etc) Skin color detection Shadow removal Adaptive object segmentation
Matching Feature Extraction Color • For a given pill, determine: 1. Number of major colors 2. Major color classes Use quantized hue and saturation values to represent colors Classifying pills to these three classes One Color
Two Colors 1. Yellow
More than 2 1. White 2. Yellow
1. Red 2. Green 3. Yellow
Research Results (as of Sep. 3, 2010) Number of gallery images
