OpenCV with GigE Vision Cameras [closed]

Gig-E is a communication standard for a wide range of cameras. OpenCV now contains a wrapper for The Prosilica Gig-E based cameras (see CV_CAP_PVAPI) But in general it’s better to use the camera’s native API to get the data and then use openCV to convert the returned data into an image, openCv contains a number … Read more

Advantages of cv::Matx

Short answer: cv::Mat uses the heap to store its data, while cv::Matx uses the stack. A cv::Mat uses dynamic memory allocation (on the heap). This is appropriate for big matrices (like images) and lets you do things like shallow copies of a matrix, which is the default behavior of cv::Mat. However, for the small matrices … Read more

OpenCV floodfill with mask

All zero-valued pixels in the same connected component as the seed point of the mask are replaced by the value you specify. This value must be added to the flags parameter, left-shifted by 8 bits: uchar fillValue = 128; cv::floodFill(img, mask, seed, cv::Scalar(255) ,0, cv::Scalar(), cv::Scalar(), 4 | cv::FLOODFILL_MASK_ONLY | (fillValue << 8)); A simple, … Read more

How do I choose an image interpolation method? (Emgu/OpenCV)

Nearest neighbor will be as fast as possible, but you will lose substantial information when resizing. Linear interpolation is less fast, but will not result in information loss unless you’re shrinking the image (which you are). Cubic interpolation (probably actually “Bicubic”) uses one of many possible formulas that incorporate multiple neighbor pixels. This is much … Read more

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