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2013-10-12 04:56:00 -0600 | commented answer | Passing Mat object to function I see. Thank u -:) |
2013-10-12 04:29:11 -0600 | asked a question | Passing Mat object to function Hi All, I have this very simple question that I can get figure it out. Say I have function
when I call this function I see that the original Mat object is changed!! as far as I know object passing by value to function in c++ get copied so why when I pass Mat object the original matrix in being changed and not the copied one? Thank u in advance |
2013-07-21 05:36:41 -0600 | commented answer | A question about image size concerning inverted image rows and colums Thank u for answering me :) |
2013-07-20 23:50:21 -0600 | asked a question | A question about image size concerning inverted image rows and colums Hi All, when I load an image via imread command I get the image size ,that is row and columns are inverted. For example say I have an jpg image of size 48x24 pixels (when I right clicked the mouse in windows explorer I see its properties) and whan I ask OpenCV to cout image.rows I get 24 and when I print out image.cols I get 48. I can't figure it out why rows and cols are inverted in OpenCV Thank u in advance |
2013-06-05 15:18:24 -0600 | commented question | Calibrating a camera with ChessboardCorners I don't see how the actual square size(real world size) is taken into account in the calibration process when using (i,j,0) for cornder at row i and column j. |
2013-06-04 23:50:31 -0600 | asked a question | Calibrating a camera with ChessboardCorners Hi All, I've read in the book "Learning OpenCV" by O'REILLY press and from "OpenCV 2 Computer Vision Application Programming Cookbook" by Robert Laganière (PACKT publishing) that when calibrating camera from chessboard pattern they use for 3D world coordinates the cornder indices with z = 0. for example suppose chesboard cornders in vertical dimension is 4 and horizontal dimension 5 so the corresponding 3D world coordinates for calibration become: (0,0,0), (0,1,0), (0,2,0),(0,3,0), (0,4,0), (1,0,0),(1,1,0),(1,2,0)...and so on. I understand we we can pick Z= 0 but I dont understand the one unit for each cornder coordinates I mean what if each sqaure in my image is say for example 44 cm? How does it reflects in the above calibration process? Thank u in advance |
2013-05-24 15:48:17 -0600 | asked a question | Canny Edge detection on 8 bit image Hi all, I kind of new to OpenCV and I want to calculate canny edge detection to 8 bit (cv_8u) image. I know that canny uses sobel gradient operation. sobel gradient calculation performed on 8 bit image results in pixel values greater than 255 so my question is what range do I have to specify the lower and hi thresholds? in the range of 0-255 as in my original image or somthing else? Thank u in advance |
2013-03-14 13:37:03 -0600 | commented answer | Calculation on 16 bit images i see....thank u for ur answer! |
2013-03-14 06:21:54 -0600 | asked a question | Calculation on 16 bit images Hi All, Does openCV support 16 bit image calculations? say for example I have 16 bit image and I want to compute gradient of the image now the result may be greater than 16 bit image...any ideas? Thank u in advance |
2013-02-07 09:28:12 -0600 | commented answer | Sobel function argument I see...Thank u , you the best :) |
2013-02-07 07:29:32 -0600 | commented answer | Sobel function argument First of all thank u very much for your answer!! now I see why scale and delta are needed. But how do I know the output ranges if the derivatives I mean how do u know that derivatives of CV_8U map to [-1024,1024] ?? |
2013-02-06 16:26:30 -0600 | asked a question | Sobel function argument Hi All, Im new to OpenCV and I'm trying for the past hour to understand what is the scale and delta input argument to cv::Sober function. Can anyone help me? Thank u in advance |
2012-12-03 00:49:08 -0600 | commented answer | image type vs image depth Thank you! |
2012-12-03 00:48:36 -0600 | commented answer | image type vs image depth Thank you! |
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2012-12-02 00:25:25 -0600 | asked a question | image type vs image depth Hi all, I'm kind of new to OpenCv and I'm a little confused. Say I load and image via imread("someImage") into a Mat object named image. What is the difference between image.depth() and image.type() ?? I see it a lot in the documentations and tutorials and just don't get the difference. I use OpenCV 2.4.2 Thank u in advance Eyal |