efficient Jmap

edge indicator robust to noise and texture
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Aggiornato 6 dic 2010

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This file is a fast computation of Jmap, which introduce in [1]. Jmap is an edge indicator which insensitive to noise and texture.
sample usage:
1.compile:
mex scale_sum.cpp
2. read an image:
img = imread('tiger.jpg');
3.Jmap computation:
Jmap = cmp_Jmap(img, 3, 7);
4. display image:
subplot(1, 2, 1), imshow(img, []), title("original image");
subplot(1, 2, 2), imshow(Jmap, []), title("Jmap");
reference:
[1]Yining Deng, B.S. Manjunath, Hyundoo Shin, "Color Image Segmentation,"
cvpr, vol. 2, pp.2446, 1999 IEEE Computer Society Conference on Computer
Vision and Pattern Recognition (CVPR'99)- Volume 2, 1999

Cita come

Su Dongcai (2026). efficient Jmap (https://it.mathworks.com/matlabcentral/fileexchange/29441-efficient-jmap), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R14
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux
Categorie
Scopri di più su Read, Write, and Modify Image in Help Center e MATLAB Answers
Versione Pubblicato Note della release
1.1.0.0

fixed a bug when input image is column data

1.0.0.0