Hybrid image segmentation using watersheds and adaptive region growing

Liu, M.G.; Jiang, Junhao; Hou, C.H.

doi:10.1049/cp:20030542

International Conference on Visual Information Engineering (VIE 2003). Ideas, Applications, Experience 2003

DOI: 10.1049/cp:20030542

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Hybrid image segmentation using watersheds and adaptive region growing

M.G. Liu¹,

Junhao Jiang²,

C.H. Hou³

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Cited by 2 publications

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“…When every step uses the best algorithms, the process would become optimal. Some typical examples of this pattern have been shown in[1] [2] [3][4] …”

mentioning

confidence: 99%

A Study on Hybrid Approaches in Image Recognition System

Duan

Yang

Liu

et al. 2007

2007 IEEE Intelligent Vehicles Symposium

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Hybrid approaches have been applied widely in image recognition system to adapt the increasing requirement of real-time and high accuracy and there are a lot of successful hybrid image recognition algorithms. To use hybrid approaches more effectively, some basic research about it is very necessary. This paper analyzes current typical hybrid samples, then presents basic hybrid image recognition patterns and evaluates their performance about real-time, accuracy, robustness, expandability and flexibility. At last a developing hybrid image recognition system would be introduced as a sample.

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“…When every step uses the best algorithms, the process would become optimal. Some typical examples of this pattern have been shown in[1] [2] [3][4] …”

mentioning

confidence: 99%

A Study on Hybrid Approaches in Image Recognition System

Duan

Yang

Liu

et al. 2007

2007 IEEE Intelligent Vehicles Symposium

View full text Add to dashboard Cite

show abstract

Fast image segmentation using region merging with a k-Nearest Neighbor graph

Liu

Guo

Xu³

et al. 2008

2008 IEEE Conference on Cybernetics and Intelligent Systems

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Hybrid image segmentation using watersheds and adaptive region growing

Cited by 2 publications

References 0 publications

A Study on Hybrid Approaches in Image Recognition System

A Study on Hybrid Approaches in Image Recognition System

Fast image segmentation using region merging with a k-Nearest Neighbor graph

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