Error in the code

4 次查看(过去 30 天)
chaala chibani
chaala chibani 2016-3-15
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);
  3 个评论
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
Start your own question and attach your code and images(s) with the paper clip icon.

请先登录,再进行评论。

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
  3 个评论
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?

请先登录,再进行评论。


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.

类别

Help CenterFile Exchange 中查找有关 Feature Detection and Extraction 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by