Final Project CEE-101s-01/MATLAB

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Presentation transcript:

Final Project CEE-101s-01/MATLAB Coin Reader Instructors: Derek Fong / Tracy Mendel Students: Joseh Suarez Tiago Oliveira

Introduction What problem does it solve? How does it work? Picture taken from: phandroid.com

Conditions Black background No coins touching No coins near the edge At least one coin of each value No zoomed out images

Methodology 1. Average Background Color 5. Coin Cleaner 2. Coin Finder 6. Penny Finder 3. Triangles 7. Diameter Compare 4. Diameter 8. Final Sum

Calculate Background color Change the picture to gray scale image (2D matrix) Calculate the average of the pixel border

Edge Finder and Triangles Compare pixels iteratively Condition to enter Triangles: | Pixel - Background | > Threshold Draw a triangle and find the the average color Check color vs. background

Diameter and Coin Cleaner Check pixel 3 by 3 Figure out the diameter Draw a box

Penny Evaluation Take RGB average for each coin [R, G, B]  [(R-B),(G-B), Ø] [(R-B),(G-B), Ø]  [(R-B)-(G-B), Ø, Ø] Grey : 20 > value > 30 Penny: value > 32

Diameter Compare Input: Array of diameters Output: Array containing the number of each coin type Method: Repeatedly count the number of “wide” coins and remove them from the array. [150, 113, 88, 117, 149, 63] [2, 2, 1, 1]

Final Sum [2, 2, 1, 1] [1.00, 0.25, 0.05, 0.10, 0.01] Input from Diameter Compare: * 0.50, 0.10, 0.10, 0.01 + $ 0.71

Examples Sum: $ 2.68 Sum: $ 0.41

Thank you! Questions?