In image analysis, segmentation is the partioning of a digital image into multiple regions (sets of pixels), according to a given criterion. The goal of segmentation is typically to locate objects of interest and is sometimes considered a computer vision problem. Unfortunately, many important segmentation algorithms are too simple to solve this problem accurately: they compensate for this limitation with their predictability, generality, and efficiency.
Pixel based Segmentation
A simple example of this kind of segmentation is thresholding a grayscale image with a fixed threshold t: each pixel p is assigned to one of two classes, P0 or P1, depending on whether I(p) < t or I(p) ≥ t. Some other segmentation algorithms are based on segmenting images into regions of similar texture according to wavelet or Fourier transforms.
More on [ Segmentation (image processing) ]
404Coupled Geodesic Active Regions for Image Segmentation - A new model for image segmentation under a region/boundary-based curve propagation model.
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Vogue home page - The Video Object Generation Tool with User Environment (VOGUE) is an interactive segmentation tool for the creation of video objects suitable for MPEG-4 encoding.
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