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alznlx/NLMeKGSA0-2D

A multi-level image thresholding segmentation using 2DNLMeKGSA method

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alznlx/Image-Denoising

In this project, Image Denoising is considered for two cases. The first one is additive Gaussian noise while the second one is speckle noise. Our approach is based on wavelet transform (Donoho's approach).

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alznlx/A-U-shaped-network-image-denoising-algorithm

A-U-type-image-denoising-algorithm-based-on-residual-neural-network-and-wavelet-transform

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alznlx/Wavelet-Transform-and-Application-to-Image-Denoising

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alznlx/DCT_Wavelet_Denoising

Image denoising using DCT Dictionary & Wavelet transform.

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alznlx/contourlet-transform

contourlet

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alznlx/Nonsubsampled-Contourlet-Toolbox

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alznlx/Fig2_Fig3_Fig4-for-NR-IQA-with-Shearlet-Transform-and-DNN

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alznlx/DCT-FFT-and-Denoising

DCT、FFT压缩与均值滤波、中值滤波、高斯滤波、二维统计滤波、自适应中值滤波、维纳滤波、kNN滤波、NL-Means滤波的matlab实现

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alznlx/RFCM

Robust Fuzzy Clustering for MRI

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alznlx/Brain-Tumour-Detection

This is my ongoing project. In this project i will detect tumor region in brain. I will also try to calculate the area of the tumor region part .To do the project i am considering dataset of 187 MRI images. Fuzzy C-means clustering is used for the segmentation of the image to detect the suspicious region in the brain MRI image. I am applying SVM technique to classify the brain MRI image.

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alznlx/entropy-otsu

MATLAB code and data for the article "DOI:10.1007/s00500-017-2709-1"

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alznlx/huffman_coding

Python implementation of Huffman coding .