2011-04-29 33 views
0

目前我正在matlab上進行圖像處理項目,我簡單地捕捉圖像與我的攝像頭,保存它,使用hough變換處理圖像,然後嘗試保存它。當我使用imwrite功能轉換後的圖片上我得到這個錯誤:Matlab error不支持的圖像數據類型'結構'

??? Error using ==> imwrite>validateSizes at 596 
Unsupported image datatype 'struct'. 

Error in ==> imwrite at 422 
validateSizes(data); 

Error in ==> findLine at 48 
imwrite(tapes,fullImageFileName2); 

我真的不知道什麼是怎麼回事,但我用的是imwrite當圖像被首先採取的攝像頭,並且不保存錯誤。它是我第二次嘗試保存圖像,這是我得到此錯誤的轉換圖像。任何任何想法?

這是到目前爲止我的代碼:

vidobj = videoinput('winvideo'); 
preview(vidobj); 
pause(10); 
snapshot = getsnapshot(vidobj); 
fullImageFileName = fullfile(pwd, 'line.jpg'); 
imwrite(snapshot,fullImageFileName); 
imagesc(snapshot); 
imshow(snapshot); 

%Load image 
tape = imread('C:\Users\Mustafa\Documents\MATLAB\line.jpg'); 
%Displays the valid values for the Image Processing 
iptsetpref ImshowBorder tight 
imshow(tape) 

%Segment by thresh holding 
thresh1 = 100; 
tapes = im2bw(tape, thresh1/255); 
imshow(tapes) 

%Clean up image 
%Morphology to assist segmentation 
tapes = bwareaopen(tapes,100);%area under 100 pixels 
imshow(tapes) 

%Clear objects touching the line 
%suppresses structures that are lighter than their surroundings and that are connected  to the image border. 
%(In other words, use this function to clear the image border.) 
%tapes = imclearborder(tapes, 26); 
%imshow(tapes) 

%Find tape 
%Find all connected regions 
[B,L] = bwboundaries(tapes, 'noholes'); 
numRegions = max(L(:)); 
imshow(label2rgb(L)) 


%Hough transform 
[H, theta, rho] = hough(tapes); 
peaks = houghpeaks(H, 2); 
tapes = houghlines(tapes, theta, rho, peaks, 'FillGap', 50, 'MinLength', 30); 



fullImageFileName2 = fullfile(pwd, 'linedetect.png'); 
imwrite(tapes,fullImageFileName2,'BitDepth',16); 
+1

我們需要更多信息,你可以輸入'whos tapes'並報告它說的內容。 (它看起來像'tapes'是一個結構,所以也可以很好地展示你如何創建'tapes'。) – 2011-04-29 18:52:29

+0

我已經更新了上面的代碼, – user427641 2011-04-29 18:58:20

+0

tapes = houghlines(tapes,theta,rho,peaks,'FillGap' ,50,'MinLength',30);輸入'whos磁帶'後輸入 – user427641 2011-04-29 18:58:30

回答

1

houghlines返回struct。輸入help houghlines以瞭解輸出更徹底。

(提示,它不是一個圖像。)

在幫助頁面的底部houghlines它給出了什麼與輸出做榜樣。