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image processing

Thursday, May 21, 2009. Opencv#8: Find the vertical projection of an image. Often, it will be necessary to find the sum of pixels in each column of an image. This is called the vertical projection. An application may in optical character recognition (OCR), where we can use the vertical projection to separate connected characters. The troughs in vertical projection mostly correspond to the junction of two characters. Find the vertical projection. V vl proj; / holds the column sum values. CvScalar col sum;.

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Thursday, May 21, 2009. Opencv#8: Find the vertical projection of an image. Often, it will be necessary to find the sum of pixels in each column of an image. This is called the vertical projection. An application may in optical character recognition (OCR), where we can use the vertical projection to separate connected characters. The troughs in vertical projection mostly correspond to the junction of two characters. Find the vertical projection. V vl proj; / holds the column sum values. CvScalar col sum;.
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image processing | 4imageprocessing.blogspot.com Reviews

https://4imageprocessing.blogspot.com

Thursday, May 21, 2009. Opencv#8: Find the vertical projection of an image. Often, it will be necessary to find the sum of pixels in each column of an image. This is called the vertical projection. An application may in optical character recognition (OCR), where we can use the vertical projection to separate connected characters. The troughs in vertical projection mostly correspond to the junction of two characters. Find the vertical projection. V vl proj; / holds the column sum values. CvScalar col sum;.

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4imageprocessing.blogspot.com 4imageprocessing.blogspot.com
1

image processing: OpenCV#7: Simple motion detection

http://4imageprocessing.blogspot.com/2009/05/opencv7-simple-motion-detection.html

Thursday, May 14, 2009. OpenCV#7: Simple motion detection. This is a simple motion detection algorithm using frame difference method. This example assumes that the video frames are stored in your system in a particular directory. Using namespace std;. IplImage* frame prev = cvLoadImage( "dir name/frame0.jpg", CV LOAD IMAGE GRAYSCALE );. Int M = frame prev- width;. Int N = frame prev- height;. IplImage* frame curr;. IplImage* frame diff = cvCreateImage( cvGetSize(frame prev), 8, 1 );. Introduction to prog...

2

image processing: OpenCV#5: Copy a portion from an image

http://4imageprocessing.blogspot.com/2009/05/opencv5-crop-portion-from-image.html

Thursday, May 7, 2009. OpenCV#5: Copy a portion from an image. 1 set an ROI in the source image. CvSetImageROI( img src, cvRect roi );. 2 create a new image with the same size as the ROI. IplImage* img dst = cvCreateImage( cvSize( roi.width, roi.height ), IPL DEPTH 8U, 1 );. 3 copy the portion from the source image to destination image. CvCopy( img src, img dst );. Subscribe to: Post Comments (Atom). Opencv#8: Find the vertical projection of an image. Matlab: Window based Otsu thresholding.

3

image processing: April 2009

http://4imageprocessing.blogspot.com/2009_04_01_archive.html

Thursday, April 2, 2009. DIP using OpenCV #2 : Clearing an image. CvSet( IplImage* img, cvScalar(0,0) ;. This will set each and every pixel to zero. Another simple method I recently became aware of:. CvZero( IplImage* img );. Wednesday, April 1, 2009. Image processing using OpenCV #1: Invert an image. Code to open an image and invert it using OpenCV:. Img = cvLoadImage(argv[1]);. Get the image data. Height = img- height;. Width = img- width;. Step = img- widthStep;. Channels = img- nChannels;.

4

image processing: opencv#8: Find the vertical projection of an image

http://4imageprocessing.blogspot.com/2009/05/opencv8-find-vertical-projection-of.html

Thursday, May 21, 2009. Opencv#8: Find the vertical projection of an image. Often, it will be necessary to find the sum of pixels in each column of an image. This is called the vertical projection. An application may in optical character recognition (OCR), where we can use the vertical projection to separate connected characters. The troughs in vertical projection mostly correspond to the junction of two characters. Find the vertical projection. V vl proj; / holds the column sum values. CvScalar col sum;.

5

image processing: March 2009

http://4imageprocessing.blogspot.com/2009_03_01_archive.html

Friday, March 27, 2009. Converting an RGB image into normalized RGB removes the effect of any intensity variations. The normalized RGB color space is obtained as:. R = R/(R G B);. G = G/(R G B);. B = B/(R G B);. Subscribe to: Posts (Atom). OpenCV: Structural analysis reference. OpenCV: Image processing and analysis reference. Introduction to programming with OpenCV.

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4imageprocessing.blogspot.com 4imageprocessing.blogspot.com

image processing

Thursday, May 21, 2009. Opencv#8: Find the vertical projection of an image. Often, it will be necessary to find the sum of pixels in each column of an image. This is called the vertical projection. An application may in optical character recognition (OCR), where we can use the vertical projection to separate connected characters. The troughs in vertical projection mostly correspond to the junction of two characters. Find the vertical projection. V vl proj; / holds the column sum values. CvScalar col sum;.

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