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Asked by saravanakumar D
on 27 Dec 2013

I can't understand the technique how to analyse the shape. So any please help me to understand this concept.

Code is below

function W = Classify(ImageRead) RGB = imread('test.bmp'); figure, imshow(RGB), title('Original Image');

GRAY = rgb2gray(RGB); figure, imshow(GRAY), title('Gray Image');

threshold = graythresh(GRAY); BW = im2bw(GRAY, threshold); figure, imshow(BW), title('Binary Image');

BW = ~ BW; figure, imshow(BW), title('Inverted Binary Image');

[B,L] = bwboundaries(BW, 'noholes');

STATS = regionprops(L, 'all'); % we need 'BoundingBox' and 'Extent'

% Step 7: Classify Shapes according to properties % Square = 3 = (1 + 2) = (X=Y + Extent = 1) % Rectangular = 2 = (0 + 2) = (only Extent = 1) % Circle = 1 = (1 + 0) = (X=Y , Extent < 1) % UNKNOWN = 0

figure, imshow(RGB), title('Results'); hold on for i = 1 : length(STATS) W(i) = uint8(abs(STATS(i).BoundingBox(3)-STATS(i).BoundingBox(4)) < 0.1); W(i) = W(i) + 2 * uint8((STATS(i).Extent - 1) == 0 ); centroid = STATS(i).Centroid; switch W(i) case 1 plot(centroid(1),centroid(2),'wO'); case 2 plot(centroid(1),centroid(2),'wX'); case 3 plot(centroid(1),centroid(2),'wS'); end end return

Answer by Image Analyst
on 27 Dec 2013

Accepted answer

What are the kinds of shapes you have there?

- polygons (everything is a polygon)
- quadrilaterals, polygons, and ellipsoids
- quadrilaterals, rectangles, polygons, and ellipsoids
- quadrilaterals, rectangles, polygons, circles, and ellipsoids
- quadrilaterals, rectangles, squares, polygons, circles, and ellipsoids

You might look at the solidity, area, and perimeter. And the circularity = perimeter.^2 ./ (4*pi*area).

You may also find this useful to determine how many sides a polygon has: http://matlab.wikia.com/wiki/FAQ#How_do_I_find_.22kinks.22_in_a_curve.3F

saravanakumar D
on 27 Dec 2013

i want to know why programmer using boundingbox in this programme. what is meaning of BoundingBox(3)and BoundingBox(4)

hold on for i = 1 : length(STATS) W(i) = uint8(abs(STATS(i).BoundingBox(3)-STATS(i).BoundingBox(4)) < 0.1); W(i) = W(i) + 2 * uint8((STATS(i).Extent - 1) == 0 ); centroid = STATS(i).Centroid; switch W(i) case 1 plot(centroid(1),centroid(2),'wO'); case 2 plot(centroid(1),centroid(2),'wX'); case 3 plot(centroid(1),centroid(2),'wS'); end

Marc
on 27 Dec 2013

Boundingbox is a property from regionprops. It's being stored in the structure STATS.

doc regionprops

I assume you have the image processing toolbox?

Image Analyst
on 27 Dec 2013

bounding box won't help unless one of the shape classes bounding box size is known in advance and specified as a characteristic of that shape. In other words "if the width of the bounding box is this and the height of the bounding box is that, then the shape *must* be this (circle or whatever)."

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