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After getting binary image (of any color like red, blue etc.) from getColor function, now the work is to identify the shapes in the binary image. What I did till now is:
im = iread('myOwnRV.jpg', 'double');
im2 = igamm(im, 'sRGB');
r = getColor(im2, 'red', 0.7);
idisp(r);
Hence we got a binary image having 7 blobs (including black background). We can check this using:
>> b = iblobs(r);
>> b
b =
(1) area=7781344, cent=(1221.8,1635.0), theta=1.58, b/a=0.748, class=0, label=1, touch=1, parent=1, perim=11420.0, circ=0.834
(2) area=34380, cent=(543.1,1246.2), theta=-3.10, b/a=0.883, class=1, label=2, touch=0, parent=1, perim=912.8, circ=0.577
(3) area=17899, cent=(839.5,2499.3), theta=-2.42, b/a=0.995, class=1, label=3, touch=0, parent=1, perim=551.0, circ=0.824
(4) area=23115, cent=(869.4,1136.5), theta=1.60, b/a=0.991, class=1, label=4, touch=0, parent=1, perim=588.8, circ=0.932
(5) area=67787, cent=(1477.8,1131.1), theta=2.30, b/a=0.992, class=1, label=5, touch=0, parent=1, perim=1070.2, circ=0.827
(6) area=11658, cent=(1822.8,1467.1), theta=1.63, b/a=0.898, class=1, label=6, touch=0, parent=1, perim=522.9, circ=0.596
(7) area=54089, cent=(1878.1,2108.8), theta=-2.72, b/a=0.988, class=1, label=7, touch=0, parent=1, perim=905.8, circ=0.922
Now I want to detect the shapes from this binary image.
First I started with the ‘circle’ shape. We know that the circularity for circle is 1. So we take near about 1 in if statement. And we can see clearly in image that there are 2 circles and also there are 2 blobs having values near about 1 above.
So here is my getShape.m function:
function ans = getShape(im, shape)
[L,mx] = ilabel(im);
b = iblobs(im);
array = zeros(1,mx); %created a matrix for storing labels of matching blobs
for i = 1:mx
if(shape=='circle' & b(i).circularity>=0.9 & b(i).circularity <=1.1)
array(i) = b(i).label;
end
end
exclude = array(array~=0); %exclude the extra zeros added
ans = b(exclude); %here the resulting blobs's features are stored
end
To use this function we must be in same directory of where the function is stored (in MATLAB). We can use this function as:
>> getShape(r,'circle')
ans =
(1) area=23115, cent=(869.4,1136.5), theta=1.60, b/a=0.991, class=1, label=4, touch=0, parent=1, perim=588.8, circ=0.932
(2) area=54089, cent=(1878.1,2108.8), theta=-2.72, b/a=0.988, class=1, label=7, touch=0, parent=1, perim=905.8, circ=0.922
Now to make a bounding box around the blobs (circles):
>> idisp(r); %display the binary image
>> ans.plot_box
The result is shown as:
