{"id":34436,"date":"2023-03-06T05:21:21","date_gmt":"2023-03-05T23:51:21","guid":{"rendered":"https:\/\/jassweb.com\/solved\/solved-how-can-i-detect-the-dimensions-of-an-object-under-an-angle-in-this-picture-in-matlab-closed\/"},"modified":"2023-03-06T05:21:21","modified_gmt":"2023-03-05T23:51:21","slug":"solved-how-can-i-detect-the-dimensions-of-an-object-under-an-angle-in-this-picture-in-matlab-closed","status":"publish","type":"post","link":"https:\/\/jassweb.com\/solved\/solved-how-can-i-detect-the-dimensions-of-an-object-under-an-angle-in-this-picture-in-matlab-closed\/","title":{"rendered":"[Solved] How can I detect the dimensions of an object under an angle in this picture in MATLAB? [closed]"},"content":{"rendered":"

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Consider this as a beginner’s tutorial to Matlab image processing. Read the documentation of the commands used and try and understand<\/strong> what they are doing and why.<\/p>\n

1. Read the image<\/h3>\n

Use imread<\/code><\/a> to read the image into a 3D matrix. For convenience, we convert it to double<\/code> in the range [0..1] using im2double<\/code><\/a>:<\/p>\n

>> img = im2double( imread( 'path\/to\/battety.jpg' ) );\n<\/code><\/pre>\n
You can check out the size of your img<\/code> using size<\/code><\/a> command:<\/p>\n
>> size( img )\nans =\n    1024         768           3\n<\/code><\/pre>\n
You can see from the result that your image has 1024 rows, 768 columns and 3 channels (Red, Green and Blue).<\/p>\n
2. Convert to black and white (a.k.a thresholding)<\/h3>\n
As you can see the battery is significantly brighter than the background and is colorless. We can select pixels that have large gap between the brightest channel value to darkest channel values as “battery” pixels:<\/p>\n
>> bw = (max(img,[],3)-min(img,[],3)) > 0.2;\n<\/code><\/pre>\n
See max<\/code><\/a> and min<\/code><\/a> for more details.
\nThere are other methods to threshold an image, see graythresh<\/code><\/a> for more details.<\/p>\n
Using imshow<\/code><\/a> we can see what we got:<\/p>\n
>> imshow(bw,[],'border','tight');\n<\/code><\/pre>\n
\"enter<\/p>\n
Normally one uses morphological operations<\/a> to improve thresholding results.
\nYou can use imclose<\/code><\/a>:<\/p>\n
>> bw = imclose( bw, ones(25) );\n<\/code><\/pre>\n
Resulting with:
\"enter<\/p>\n
3. find angle of rotation<\/h3>\n
A very<\/em> useful command for processing and working with bw images is regionprops<\/code><\/a>. It allows you to get all sorts of nice properties. You are going to use it to compute the 'Orientation'<\/code><\/a> of the “white”\/battery region of your image<\/p>\n
>> st = regionprops( bw, 'Orientation' )\nst = \nOrientation: 52.8694\n<\/code><\/pre>\n
As you can see the battery is rotated by 52.8 degrees.
\nUsing imrotate<\/code><\/a> to “straighten” the battery<\/p>\n
>> rbw = imrotate( bw, -st.Orientation );\n<\/code><\/pre>\n
Once the battery is axis-aligned, you can “project” the white pixels onto the horizontal and vertical axes using any<\/code><\/a>:<\/p>\n
>> pc = any( rbw, 2 ); %\/\/ project all rows into a single column \n>> pr = any( rbw, 1 ); %\/\/ project all columns into a single row\n<\/code><\/pre>\n
Now you need to find the first and last pixels set to 1 in the projections. Use find<\/code><\/a> for that:<\/p>\n
>> fx = find( pr, 1, 'first');  %\/\/ first x coordinate\n>> tx = find( pr, 1, 'last');   %\/\/ last x coordinat\n>> fy = find( pc, 1, 'first');  %\/\/ first y coordinate\n>> ty = find( pc, 1, 'last');   %\/\/ last y coordinate  \n<\/code><\/pre>\n
Once you have x,y coordinates of corners, you can plot them on the rotated image:<\/p>\n
>> imshow(rbw,[],'border','tight');\n>> hold on; \n>> plot( [fx tx tx fx fx], [fy fy ty ty fy], ':r', 'LineWidth',3);\n<\/code><\/pre>\n
Yields:
\"enter<\/p>\n
And the coordinates are:<\/p>\n
>> [fx fy tx ty]\nans =\n406   608   866   733\n<\/code><\/pre>\n
As you can see your battery is (866-406) pixels long and (733-608) pixels wide.<\/p>\n<\/p><\/div>\n
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            0<\/span> <\/p><\/div>\n<\/div>\n
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solved How can I detect the dimensions of an object under an angle in this picture in MATLAB? [closed] <\/p>\n","protected":false},"excerpt":{"rendered":"
[ad_1] Consider this as a beginner’s tutorial to Matlab image processing. Read the documentation of the commands used and try and understand what they are doing and why. 1. Read the image Use imread to read the image into a 3D matrix. For convenience, we convert it to double in the range [0..1] using im2double: … Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[320],"tags":[2253,6064,881,4251,516],"class_list":["post-34436","post","type-post","status-publish","format-standard","hentry","category-solved","tag-computer-vision","tag-edge-detection","tag-image-processing","tag-image-segmentation","tag-matlab"],"yoast_head":"\n[Solved] How can I detect the dimensions of an object under an angle in this picture in MATLAB? 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