نتایج جستجو برای: s test histogram p
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Traditional histogram enhancement algorithm to enhance image has the defect of over-bright image, amplified noise, and missing image details. In view of these defects, this paper proposes an image enhancement algorithm based on second generation wavelet integer transform. At first, use the second generation wavelet integer transform to decompose the original image with wavelet. Then, integer lo...
For centuries the nations and principalities of the world have engaged in trading schemes to boost exports. Conquest, protection of domestic supply through tariffs and eroding domestic currency are all part of the historic policy harem. The United States has a foreign trade zone program. Who knew? FTZs evoke images of women locked inside a dark sweatshop in a jungle making hoodies for football ...
in this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. the precision-recall measure and the correct classification rate of the k-nn classifier are used to evaluate retrieval and classification performances, respectively. the experimental results for a database of 1000 images from 10 different semantic gro...
In the past two decades, the techniques of artificial neural networks are growing mature, as a datadriven method, which provides a totally new perspective to fault diagnosis. Testing issues are becoming more and more important with the quick development of both digital and analog circuit industry. Analog-to-digital converters (ADCs) are becoming more and more widespread owing to their fundament...
Color inconsistency often exists between the images to be stitched and will reduce the visual quality of the stitching results. Color transfer plays an important role in image stitching. This kind of technique can produce corrected images which are color consistent. This paper presents a color transfer approach via histogram specification and global mapping. The proposed algorithm can make imag...
This month we continue our discussion of graphics in R. This month we examine histogram generation, 1-D and 2-D kernel density estimation. The GNU S language, "R" is used to implement this procedure. R is a statistical programming environment that utilizes the S and S-Plus language developed at Lucent Technologies. In the following document we illustrate the use of a GNU Web interface to the R ...
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