Textural Features - Indicators of Pollution
نویسندگان
چکیده
منابع مشابه
Textural Features for Steganalysis
It is observed that the co-occurrence matrix, one kind of textural features proposed by Haralick et al., has played a very critical role in steganalysis. On the other hand, the data hidden in the image texture area has been known difficult to detect for years, and the modern steganographic schemes tend to embed data into complicated texture area where the statistical modeling becomes difficult....
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Prevailing surface material recognition methods are based on textural features but most of these features are very sensitive to scale variations and the recognition accuracy significantly declines with scale incompatibility between visual material measurements used for learning and unknown materials to be recognized. This effect of mutual incompatibility between training and testing visual mate...
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Texture is one of the important characteristics used in identifying objects or regions of interest in an image, whether the image be a photomicrograph, an aerial photograph, or a satellite image. This paper describes some easily computable textural features based on graytone spatial dependancies, and illustrates their application in categoryidentification tasks of three different kinds of image...
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In this work, we investigate the effect of texture features for the classification of flower images. A flower image is segmented by eliminating the background using a thresholdbased method. The texture features, namely the color texture moments, gray-level co-occurrencematrix, and Gabor responses, are extracted, and combinations of these three are considered in the classification of flowers. In...
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ژورنال
عنوان ژورنال: Journal of Environmental & Analytical Toxicology
سال: 2017
ISSN: 2161-0525
DOI: 10.4172/2161-0525.1000505