whdcumt

BlurDetection

A Python-Based Blur Detector using Fast Fourier Transforms

CoalMineWorker

Implement pedestrian detection in complex scenarios such as low illumination, strong occlusion, and blur in underground coal mines.

ColorConstancy

ColorConstancy matlab

CSDNBlogBackup

Python实现CSDN博客的完整备份

exposure_correction

Implements the exposure correction algorithms presented in Yuan et al's "Automatic Exposure Correction of Consumer Photographs".

Gaussian

高斯模糊参考（网上资源）

image-quality-assessment

Midway-Image-Equalization

MSR_original

Retinex-IPOL

Texture-Features-Based-Image-Retrieval-in-DWT-Domain

we have presented a Content Based Image Retrieval (CBIR) scheme using color, texture and shape feature information. Firstly an input RGB image is converted into YCbCr image and each part of the i.e. Y, Cb and Cr are extracted from it. Afterword, each components are uniformly quantized. Then BDIP and BVLC are computed over quantized Y-component on block size of 2×2 and receive respective BDIP and BVLC image. Then on these two received image 3-level dwt is implemented and on each sub band some statistical parameters are evaluated to form a part of a feature vector. Now, on extracted quantized Cb and Cr components, 2-level dwt is performed and on each sub band some statistical parameters are calculated and this form second part of the feature vector. Now both parts are concatenated to form final feature vector. To proof that our system is adequate to retrieve good results, we have tested our scheme on benchmark database Coral-1000 . Same processed has been taken place for all the images present in the database and on the basis of the similarity measurement Top-20 results are retrieved and stored and the results are quite satisfying.

whdcumt/image-quality-assessment

whdcumt/Midway-Image-Equalization

whdcumt/MSR_original

Retinex-IPOL

whdcumt/-color_histogram

whdcumt/gimp_retinex

whdcumt/ImageQualityDetection

whdcumt/jieba-php

"結巴"中文分詞：做最好的 PHP 中文分詞、中文斷詞組件。 / "Jieba" (Chinese for "to stutter") Chinese text segmentation: built to be the best PHP Chinese word segmentation module.

whdcumt/RetinexCPP

whdcumt/AdaptHistEqualizeTest

whdcumt/BaiduCloudTree

whdcumt/Box_Blur

whdcumt/CLAHE

whdcumt/CPPNote

whdcumt/CVMFC

whdcumt/DeepLearningBook

MIT Deep Learning Book in PDF format

whdcumt/GaussAlgorithm3

算法3

whdcumt/GithubManagement

whdcumt/Histogram-Equalization-Logarithmic-Mapping-Image-Rotation-Gaussian-Averaging-Filter-Median-Filter

Implementation of Histogram Equalization, Logarithmic Mapping, Image Rotation, Gaussian Averaging Filter and Median Filter. Histogram equalization is a method using which we can adjust image intensities that will enhance the contrast of the image. By applying the histogram, the intensities of the image can be distributed properly which will allow the area with lower contrast to gain proper higher contrast. To compress the dynamic range of an image we can replace each and every pixel value with their log values. By implementing this, we enhance the low intensity pixels of the image. Logarithmic mapping is a simple point process in which the mapping function is a log curve. Since the logarithm is not defined for, the equation of the log mapping function looks like given below: 𝐼′(𝑟,𝑐)=log(𝐼(𝑟,𝑐)+1). Rotation is the operation that will perform the geometric transformation of the image element which will be rotated at the given angle about an origin. Gaussian filter have a special type of property of not having any overshoot towards a step input function and it minimizes the fall and rise time, thus it has minimum delay in group. Due to this property the Gaussian filter is considered the ideal time domain filter. Median filter is basically used to remove the nonlinear noise in the images. Generally this is used in the preprocessing step in different image processing algorithms. The most significant reason to use the median filtering is that it preserves the edge information even after removing the nonlinear noise.

whdcumt/ImProCv

第一程序：读取图片，灰度化，边缘检测

whdcumt/labelImg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

whdcumt/LinkRecord

whdcumt/model_airplane

whdcumt/OtherThings

whdcumt/patchmatch

whdcumt/PureGaussian

实现模糊功能

whdcumt/PureGaussianBlur

whdcumt/RecurisiveGau

whdcumt/SubjectsProcess

whdcumt/ThoughtRecord

whdcumt/vbaNote