<table id="qaywm"></table> Color-Based Image Retrieval Using Spatial-Chromatic Histograms
標(biāo)簽： Spatial-Chromatic Color-Based Histograms Retrieval
上傳時間： 2014-01-15
上傳用戶：天誠24
To develop functional modules to process grayscale image intensity data. And perform Point and spatial operations. Uses Prewitt, Sobel, and Laplacian of Guassian Methods. And calculates their Histograms.
標(biāo)簽： functional grayscale intensity develop
上傳時間： 2015-11-09
上傳用戶：源弋弋
// // Histogram Sample // This sample shows how to use the Sample Grabber filter for video image processing. // Conceptual background: // A histogram is just a frequency count of every pixel value in the image. // There are various well-known mathematical operations that you can perform on an image // using Histograms, to enhance the image, etc. // Histogram stretch (aka automatic gain control): // Stretches the image histogram to fill the entire range of values. This is a "point operation," // meaning each pixel is scaled to a new value, without examining the neighboring pixels. The // histogram stretch does not actually require you to calculate the full histogram. The scaling factor // is calculated from the minimum and maximum values in the image.
標(biāo)簽： Sample Histogram Grabber sample
上傳時間： 2013-12-15
上傳用戶：ryb
OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.
標(biāo)簽： OTSU segmentation Gray-level segmented
上傳時間： 2017-04-24
上傳用戶：yuzsu
It s an entire application that uses knowdledge of probabilistic and statistical math to generate and display radom variables characteristics and Histograms...it includes a console too for changing or viewing general parameters in the form of commands sent to the application....Enjoy!
標(biāo)簽： probabilistic application statistical knowdledge
上傳時間： 2014-01-01
上傳用戶：zhangliming420
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