Auggen21/Texture-Classification-using-Wavelet-CNN

Stars
6
Rank 2,539,965 (Top 51 %)
Language
Jupyter Notebook
Created over 4 years ago
Updated over 4 years ago

Auggen21/Texture-Classification-using-Wavelet-CNN

Auggen21

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Texture classification using wavelet CNN in google colab

Low-Light-Image-Enhacement-1

Matlab Implementation of journal "A fusion-based enhancing method for weakly illuminated images" by XueyangFu, DeluZeng, YueHuang, YinghaoLiao, XinghaoDing, JohnPaisley, Signal Processing Journal, Elsevier, May 2016

image-processing-basics-matlab-3

Inverse Filtering, Wiener Filter, Image Restoration, Hough Transform, Image segmentation using watershed, thresholding, region growing and region splitting and merging

low-light-image-enhancement2

Adaptive image enhancement method for correcting low-illumination images

LITS-Challenge

Liver Tumor Segmentation Challenge

Jupyter Notebook

image-processing-basics-matlab

Image Reading, writing, histogram, histogram equalization, local histogram equalization, low pass filter, high pass filter, geometrical transformation

Image-proceessing-basics-matlab-python-2

Image Addition, Multiplication, Division, Subtraction, Fourier Transform, Inverse Fourier transform, convolution, correlation, horizontal, vertical and diagonal line detection, edge detection, sobel, canny, roberts, prewitt, Laplacian of Gaussian

Food-classification-and-clorie-estimation-GUI

Food classification using Food 101 dataset and its calorie estimation GUI

Jupyter Notebook

Face-Recognition

Face Recognition with HOG (Histogram of Gradients) and LDB (Local Difference Binary) features using SVM Classifier

Covid-Detection-using-Lung-Xray-Images

Covid19, Pnemonia, or Normal Detection using Lung Xray Images

Jupyter Notebook

image_processing_basics

Image Reading, writing, histogram, histogram equalization, local histogram equalization, low pass filter, high pass filter, geometrical transformation

Optical-Mark-Reader-using-python

OMR Reader using python. The output will be stored in a excel file

Multi-Focus-Image-Fusion

Multi focus two images are fused together to obtain a better image..

Blood-Cancer-Detection-Using-Faster_region-CNN

Faster Region Convolutional Neural Network using pretrained ResNet50 Model MATLAB- Detects and classify Multiple Myeloma (MM) and B-lineage Acute Lymphoblastic Leukemia (B-ALL).