zzy1455917490,github

-color-multi-focus-image-fusion-using-guided-and-bilateral-filter-based-on-focus-region-detection-in

This code impliments a multi-focus color image fusion method based on focus region detection with edge preseve using bilateral filter and guided filter in discrete wavelet transform (2DWT). Firstly, a novel focus region detection method is estimated, which uses guided filter to refine the rough focus maps obtained by bilateral filter and difference operator. Then, An initial decision map is got via the pixel-wise maximum rule, and optimized to generate final decision map by using guided filter again. Finally, the fused image is obtained by the pixel-wise weighted-averaging rule with the final decision map via inverse transform.

3d-model-reconstruction-from-image-sequence

This is my undergraduate design project

active-contour-model-matlab

Some matlab code of Active Contour Model for image segmentation

auto-image-cutter

A Matlab program to cut text into columns from an image.

b-spline-image-registration

Image registration in Matlab using B-Spline-Transformation

brain-tumor-extraction-from-mri-images

This project segments the tumor from MRI images using k-means, watershed, MSER, Otsu’s thresholding and graythresh segmentation techniques. Normalized cross correlation technique is also performed to compare the extracted tumor with the template tumor and achieved an accuracy of 85% in extracting the right tumor from brain images.

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.

breast-cancer-image-segmentation

Pattern Recognition: Breast Cancer detection using Image segmentation techniques

caffe-vdsr

A Caffe-based implementation of very deep convolution network for image super-resolution

calciummask

This is MATLAB code to make a mask of cell positions onto a calcium image video.

changedetectionpcakmeans

MATLAB implementation for Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and k-Means Clustering.

classic-and-state-of-the-art-image-fusion-methods

CBF,CVT,DTCWT,GTF,LP,MSVD,RP,Wavelet,CNN,Deepfuse,DenseFuse,FusionGAN,IFCNN,MDlatLRR,DDcGAN,ResNetFusion,NestFuse,NVCE,FusionDN,HybridMSD,PMGI,IFEVIP,StructAware,U2Fusion,MEF-GAN，JSR,ConvSR,DCHWT,MEFGAN,MWFG,PMGI,PANGAN,ect

color-image-segmentation-using-region-growing-and-region-merging

Unsupervised color image segmentation using Region Growing and Region Merging

crc-sisr

Matlab code for Collaborative Representation Cascade for Single-Image Super-Resolution

dctvarfusion

DCT+Variance - multi-focus image fusion technique

deep-fusion-ae-and-som

Master thesis work. Using deep feature fusion approaches and cascade classification

deeplearning-for-cloud-detection

Two kinds of full convolution neural network models based on multi-scale feature fusion for cloud area detection of remote sensing image.

drrn_cvpr17

Code for our CVPR'17 paper "Image Super-Resolution via Deep Recursive Residual Network"

dynsensactpaper

Repository containing files to reproduce parts of the paper on "Dynamic sensor activation and decision-level fusion in Wireless Acoustic Sensor Networks for classification of domestic activities"

edge-detection---ant-colony-optimization

This is an image processing edge detection technique.

edge-detection-wavelet-transform-

Analiza obrazów z wykorzystaniem falek do detekcji uszkodzeń konstrukcji // Use of wavelet transform in detection of structural damage

edge_detection

Implemented a solution in MATLAB for edge detection based on wavelet based edge detection and fusion. Haar filter and db2 filter are used to decompose the images and recompose them at 3 levels. the horizontal and vertical details of the image at each level were used, because, human visual system is very sensitive to these orientations.

edgeguidedsdsp

Edge Guided Single Depth Image Super-resolution

fair.m

Flexible Algorithms for Image Registration

feature-base-fusion-for-splicing-forgery-detection-based-on-neuro-fuzzy

These are the Matlab codes used for my master thesis as well as the paper "Feature base fusion for splicing forgery detection based on Neuro fuzzy".

feature-level-fusion-of-palm-print-and-palm-vein

Biometric systems have become a major part of research due its application of identification. Code provides a multimodal biometric system using palm prints modality combined with palm print modality. DCT transformation is applied initially into input image. The proposed methodology uses standard deviation of pre-defined block of DCT coefficient as feature vector. In this way single image is converted into feature vector of 1 x 39. Recognition process is being done by performing distance measurement between feature vector of testing and training data set. Results show that the False Acceptance Rate (FAR) of feature level fusion is less than that of uni-modal systems, hence having multimodality is advantageous. Testing and training is done on database of 500 students of College of Engineering Pune, Pune, India. Canberra distance shows best result when compared to Euclidean or Manhatten distance.

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