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Digital image processing is the use of a digital computer to process digital images through an algorithm. [1] [2] ... Gonzalez, Rafael C.; Woods, Richard E. (2008).
which is also the image's accumulated normalized histogram. We would like to create a transformation of the form = to produce a new image {y}, with a flat histogram. Such an image would have a linearized cumulative distribution function (CDF) across the value range, i.e.
An Introduction to Morphological Image Processing by Edward R. Dougherty, ISBN 0-8194-0845-X (1992) Morphological Image Analysis; Principles and Applications by Pierre Soille, ISBN 3-540-65671-5 (1999) R. C. Gonzalez and R. E. Woods, Digital image processing, 2nd ed. Upper Saddle River, N.J.: Prentice Hall, 2002.
max is the maximum value for color level in the input image within the selected kernel. min is the minimum value for color level in the input image within the selected kernel. [4] Local contrast stretching considers each range of color palate in the image (R, G, and B) separately, providing a set of minimum and maximum values for each color palate.
Together with closing, the opening serves in computer vision and image processing as a basic workhorse of morphological noise removal. Opening removes small objects from the foreground (usually taken as the bright pixels) of an image, placing them in the background, while closing removes small holes in the foreground, changing small islands of ...
In most cases in image processing thickening is performed by thinning the background [1] (,) = () where ∪ {\displaystyle \cup } denotes the set-theoretical difference and ⊙ {\displaystyle \odot } denotes the hit-or-miss transform , and B i {\displaystyle B_{i}} is the structural element and X {\displaystyle X} is the image being operated on.
Split and merge segmentation is an image processing technique used to segment an image.The image is successively split into quadrants based on a homogeneity criterion and similar regions are merged to create the segmented result.
The pruning algorithm is a technique used in digital image processing based on mathematical morphology. [1] It is used as a complement to the skeleton and thinning algorithms to remove unwanted parasitic components (spurs). In this case 'parasitic' components refer to branches of a line which are not key to the overall shape of the line and ...