Computer vision uses image-capture-and-processing algorithms {computer vision algorithms} to find features and objects.
image capture
Cameras capture images pixel by pixel, with white, red, green, or blue intensity. Image algorithms can rotate, change dimensions, enhance brightness, and enhance contrast.
counting pixels
Counts light or dark pixels.
thresholding
Converts gray to black or white.
segmenting
Locates or counts textures and/or parts.
detecting edges
Finds object edges.
discovering blobs
Inspects image for connected white or black pixels to establish image reference points and regions.
recognizing components
Extracts simple three-dimensional geometric figures from image.
recognizing patterns
Locates features or objects, which may have different rotations or sizes and overlap or occlude each other.
Mathematical Sciences>Computer Science>Systems>Computer Vision>Algorithms
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Date Modified: 2022.0224