On the Role of Tsallis Entropy in Image Processing - MyScienceWor...In image processing
Examples are given in the field of the restoration of synthetic aperture radar images, whose resolution is affected by the well- known speckle noise, a side effect of the coherency of the image formation system. 展开 关键词: Image processing Inverse problems Radiometric corrections Speckle Synthetic...
Grayscale image, specified as a numeric array or logical array of any dimension.Theentropyfunction expects images of data typedoubleandsingleto have values in the range [0, 1]. IfIhas values outside the range [0, 1], then you can rescale values to the expected range by using therescale...
Platform Compatibility Windows macOS Linux Tags Add Tags color image analysis image processing image quality Community Treasure Hunt Find the treasures in MATLAB Central and discover how the community can help you! Start Hunting! Image Processing Resource Kit Download examples×...
For decades, behavioral scientists have used the matching law to quantify how animals distribute their choices between multiple options in response to reinforcement they receive. More recently, many reinforcement learning (RL) models have been developed
Sign in to download full-size image Figure 3. Binary Entropy. Note that the entropy is a functional of the distribution of X. It does not depend on the actual values taken by the random variable X but only on the probabilities; e.g. the binary entropy remains unchanged if we replace th...
Visualization of high resolution features and the total image scores for the test phantom were improved by the application of the MEM processing. It is argued that this successful demonstration of image de-blurring in noisy radiological images offers the possibility of weakening the link between ...
(2) Full size image Fig. 3 An independent and identically distributed device vs. a general one. An independent and identically distributed (i.i.d.) device (left) is initialised in some (unknown) i.i.d. state σ⊗n; each “small device” is described by one copy of the same ...
In image pre-processing, edge detection is a non-trivial task. Sometimes, images are affected by vagueness so that the edges of objects are difficult to distinguish. Hence, the usual edge-detecting operators can give unreliable results, thus necessitating the use of fuzzy procedures. In literature...
hydrology, image processing, management sciences, operations research, pattern recognition and identification, photogrammetry, psychology, physics and quantum mechanics, reliability analysis, reservoir engineering, statistical mechanics, thermodynamics, topology, transportation engineering, turbulence modeling, and so...