Lowlights map

버전 1.0.1 (949 KB) 작성자: Geoffrey Schivre
Correct image background using 3d visibility operators.
다운로드 수: 63
업데이트 날짜: 2019/4/28

라이선스 보기

Implementation of the algorithm of : Kligler, N., Katz, S., & Tal, A. (2018). Document Enhancement Using Visibility Detection. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 2374-2382).
This algorithm use the 3d visibility operator : Hidden point removal (HPR) or Target Point Occluding (TPO) to find deep valley points (black caracters) in a grayscale image.
The miniature is generated by :

I = imread('PR3.png');
Ilab = rgb2lab(I);
Img = mat2gray(Ilab(:, :, 1));
L = LowLight(Img, [5e-2, 1], 1e-4);
figure;
imshowpair(Img, L, 'montage')
title('Input and corrected image')

The 'PR3.png' image come from de DIBCO2011 database and is found here : http://utopia.duth.gr/~ipratika/DIBCO2011/benchmark/

인용 양식

Geoffrey Schivre (2026). Lowlights map (https://kr.mathworks.com/matlabcentral/fileexchange/71388-lowlights-map), MATLAB Central File Exchange. 검색 날짜: .

MATLAB 릴리스 호환 정보
개발 환경: R2018a
R2013a 이상 릴리스와 호환
플랫폼 호환성
Windows macOS Linux
카테고리
Help CenterMATLAB Answers에서 Image Filtering and Enhancement에 대해 자세히 알아보기

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
버전 게시됨 릴리스 정보
1.0.1

Correct the description of L in LowLight function.

1.0.0