用matlab检测出图像里面的图形之后，怎么样测量出检测出图形的半径，和长宽啊？？？

检测图形的程序是：

function W = Classify(ImageFile)

% Step 1: Read image Read in

RGB = imread('F:\\test.bmp');

figure,

imshow(RGB),

title('Original Image');

% Step 2: Convert image from rgb to gray

GRAY = rgb2gray(RGB);

figure,

imshow(GRAY),

title('Gray Image');

% Step 3: Threshold the image Convert the image to black and white in order

% to prepare for boundary tracing using bwboundaries.

threshold = graythresh(GRAY);

BW = im2bw(GRAY, threshold);

figure,

imshow(BW),

title('Binary Image');

% Step 4: Invert the Binary Image

BW = ~ BW;

figure,

imshow(BW),

title('Inverted Binary Image');

% Step 5: Find the boundaries Concentrate only on the exterior boundaries.

% Option 'noholes' will accelerate the processing by preventing

% bwboundaries from searching for inner contours.

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

% Step 6: Determine objects properties

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

没有多少分了，大家帮帮忙啊！～～～

一楼的给的不行的啊．．．．