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Description of Interest Regions with Local Binary Patterns
Description of Interest Regions with Local Binary Patterns
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to solve out of memory problem in matlab
my image is multispectral...large image...When i process each band and find PCA transformation,i am getting out of memory problem...even i tried to increase size of virtual memory...but still getting same problem....please provide solution.....
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Visual Cryptography
Simple implementation of the visual cryptography scheme based on Moni Naor and Adi Shamir, Visual Cryptography, EUROCRYPT 1994, pp1–12. This technique allows visual information like pictures to be encrypted so that decryption can be done visually.
The code outputs two files. Try printing them on two separate transparencies and putting them one on top of the other to see the hidden message.
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Description of Interest Regions with Local Binary Patterns
center symmetric local binary patterns it combines the features of LBP and SIFT
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LBP - Local Binary Patterns texture operator
Implementation of Local Binary Pattern (LBP), a simple but very efficient texture operator which labels the pixels of an image by thresholding the neighborhood of each pixel with the value of the center pixel. It considers the result as a binary number.
LBP texture operator has become a popular approach in various applications. It can be seen as a unifying approach to the traditionally divergent statistical and structural models of texture analysis.
LBP operator is robust to monotonic gray scale changes caused by illumination variations, etc.
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Digital image processing demonstration
This is an example for several image processing algorithms. This example includes: - Geometrical transformations such as rotation and perspective. - Kernel filter (custom kernels) - min/max and random filters (and custom) - This example also includes a GUI.
- Runs on all OS in graphical environment.
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IBP Super Resolution
IBP (Iterative Back Projection) Super Resolution example Matlab code for demonstrations. Good as a first example.

