(Q56210895)

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Color image segmentation: advances and prospects

article by H.D. Cheng et al published December 2001 in Pattern Recognition

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title

Color image segmentation: advances and prospects (English)

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H.D. Cheng

1

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X.H. Jiang

series ordinal

2

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Y. Sun

series ordinal

3

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Jingli Wang

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4

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publication date

December 2001

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published in

Pattern Recognition

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volume

34

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issue

12

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page(s)

2259-2281

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maintained by WikiProject

WikiProject Mathematics

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A review on image segmentation techniques

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Adaptive color segmentation-a comparison of neural and statistical methods

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Color information for region segmentation

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7 January 2021

A physical approach to color image understanding

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7 January 2021

Image segmentation by object color: a unifying framework and connection to color constancy

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Model for color vision and light adaptation

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The measurement of highlights in color images

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Picture segmentation using a recursive region splitting method

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Color edge detection using vector order statistics

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7 January 2021

Vector order statistics operators as color edge detectors

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7 January 2021

Toward color image segmentation in analog VLSI: Algorithm and hardware

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A Computational Approach to Edge Detection

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Efficient Implementation of the Fuzzy c-Means Clustering Algorithms.

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Fuzzy Connectedness and Object Definition: Theory, Algorithms, and Applications in Image Segmentation

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Clustering of the self-organizing map.

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7 January 2021

Recognition of human head orientation based on artificial neural networks.

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A learning algorithm for oscillatory cellular neural networks.

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On the local optimality of the fuzzy isodata clustering algorithm.

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DOI

10.1016/S0031-3203(00)00149-7

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DBLP publication ID

journals/pr/ChengJSW01

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DBLP Dataset 2021-01-02

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28 January 2021

zbMATH Open document ID

0991.68137

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(Q56210895)

Color image segmentation: advances and prospects

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