Error in the code

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chaala chibani
chaala chibani 2016-3-15
编辑： Walter Roberson 2018-2-10
Hi,can you give how i can correct my error
this is my code:
boxPoints = imread('C:\images\ima1.bmp');
figure;
imshow(boxPoints);
title('Image of a Box');
sceneImage = imread('C:\images\im1.jpg');
figure;
imshow(sceneImage);
title('Image of a Cluttered Scene');
boxPoints =detectSURFFeatures(boxPoints);
scenePoints = detectSURFFeatures(sceneImage);
figure;
imshow(boxImage);
title('100 Strongest Feature Points from Box Image');
hold on;
plot(selectStrongest(boxPoints, 100));
figure;
imshow(sceneImage);
title('300 Strongest Feature Points from Scene Image');
hold on;
plot(selectStrongest(scenePoints, 300));
[boxFeatures, boxPoints] = extractFeatures(boxImage, boxPoints);
[sceneFeatures, scenePoints] = extractFeatures(sceneImage, scenePoints);
boxPairs = matchFeatures(boxFeatures, sceneFeatures);
matchedBoxPoints = boxPoints(boxPairs(:, 1), :);
matchedScenePoints = scenePoints(boxPairs(:, 2), :);
figure;
showMatchedFeatures(boxImage, sceneImage, matchedBoxPoints, ...
matchedScenePoints, 'montage');
title('Putatively Matched Points (Including Outliers)');
[tform, inlierBoxPoints, inlierScenePoints] = ...
estimateGeometricTransform(matchedBoxPoints, matchedScenePoints, 'affine');
figure;
showMatchedFeatures(boxImage, sceneImage, inlierBoxPoints, ...
inlierScenePoints, 'montage');
title('Matched Points (Inliers Only)');
boxPolygon = [1, 1;... % top-left
size(boxImage, 2), 1;... % top-right
size(boxImage, 2), size(boxImage, 1);... % bottom-right
1, size(boxImage, 1);... % bottom-left
1, 1]; % top-left again to close the polygon
newBoxPolygon = transformPointsForward(tform, boxPolygon);
figure;
imshow(sceneImage);
hold on;
line(newBoxPolygon(:, 1), newBoxPolygon(:, 2), 'Color', 'y');
title('Detected Box');
And this is the error:
Error in detectSURFFeatures (line 81)
checkImage(I);
Error in Untitled2 (line 1)
boxPoints = detectSURFFeatures(boxImage);
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ahmed abdelbakey
ahmed abdelbakey 2017-12-1
编辑：Walter Roberson 2018-2-10 
boxImage = imread('C:\Users\ahmed abdel bakey\Desktop\New folder\8.jpg');
boxImage=rgb2gray(boxImage);
figure;
imshow(boxImage);

title('Image of a Box');
sceneImage = imread('C:\Users\ahmed abdel bakey\Desktop\New folder\9.jpg');
sceneImage=rgb2gray(sceneImage);

figure;
imshow(sceneImage);
title('Image of a Cluttered Scene');
boxPoints = detectSURFFeatures(boxImage);
scenePoints = detectSURFFeatures(sceneImage);
figure;
imshow(boxImage);
title('100 Strongest Feature Points from Box Image');
hold on;
plot(selectStrongest(boxPoints, 100));
figure;
imshow(sceneImage);
title('300 Strongest Feature Points from Scene Image');
hold on;
plot(selectStrongest(scenePoints, 300));
[boxFeatures, boxPoints] = extractFeatures(boxImage, boxPoints);
[sceneFeatures, scenePoints] = extractFeatures(sceneImage, scenePoints);
boxPairs = matchFeatures(boxFeatures, sceneFeatures);

matchedBoxPoints = boxPoints(boxPairs(:, 1), :);

matchedScenePoints = scenePoints(boxPairs(:, 2), :);
figure;
showMatchedFeatures(boxImage, sceneImage, matchedBoxPoints, ...
matchedScenePoints, 'montage');
[tform, inlierBoxPoints, inlierScenePoints] =...
    EstimateGeometricTransform(matchedBoxPoints,matchedScenePoints,'affine');

showMatchedFeatures(boxImage, sceneImage, inlierBoxPoints, ...
inlierScenePoints, 'montage');

title('Matched Points (Inliers Only)');
boxPolygon = [1, 1;... % top-left
size(boxImage, 2), 1;... % top-right
size(boxImage, 2), size(boxImage, 1);... % bottom-right
1, size(boxImage, 1);... % bottom-left
1, 1]; % top-left again to close the polygon
newBoxPolygon = transformPointsForward(tform, boxPolygon);

figure;
imshow(sceneImage);
hold on;
line(newBoxPolygon(:, 1), newBoxPolygon(:, 2), 'Color', 'y');
title('Detected Box');

error EstimateGeometricTransform(matchedBoxPoints,matchedScenePoints,'affine');

how can solve it

Image Analyst
Image Analyst 2017-12-2
http://www.mathworks.com/matlabcentral/answers/13205#answer_18099
Start your own question and attach your code and images(s) with the paper clip icon.

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回答（3 个）

Image Analyst
Image Analyst 2016-3-16
boxImage is supposed to be gray scale or binary. You just read it in from a BMP image so it's probably color. Try this and see if it fixes it:
% Get the dimensions of the image.
% numberOfColorBands should be = 1.
[rows, columns, numberOfColorChannels] = size(boxImage);
if numberOfColorChannels > 1
% It's not really gray scale like we expected - it's color.
% Convert it to gray scale by taking only the green channel.
boxImage= boxImage(:, :, 2); % Take green channel.
end
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Image Analyst
Image Analyst 2016-3-17
Sorry, I don't have the Computer Vision System Toolbox.
Ced
Ced 2016-3-17
编辑：Ced 2016-3-17
hm... it looks like your input is correct. But what kind of image are you reading? These are the accepted input classes for
extractFeatures(I, points)
as you are calling it:
% Class Support
% -------------
% The input image I can be logical, uint8, uint16, int16, single, or
% double, and it must be real and nonsparse. POINTS can be a SURFPoints,
% MSERRegions, cornerPoints, or BRISKPoints object, or int16, uint16,
% int32, uint32, single or double.
Also, which points are you using? The output of detectSURFFeatures as you are using it above should be fine, but maybe you changed something?

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Dima Lisin
Dima Lisin 2016-3-18
I am guessing that your image is M-by-N-by-3 (RGB). detectSURFFeatures only takes M-by-N grayscale images. Convert your images to grayscale using rgb2gray.
Mystery Devil
Mystery Devil 2018-2-10
Can you please explain it to me what does this two lines mean?
matchedBoxPoints = boxPoints(boxPairs(:, 1), :);
matchedScenePoints = scenePoints(boxPairs(:, 2), :);
Thank you very much. It's kind of urgent.

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