A Region-Growing Adaptation-Based Algorithm for the Smart Detection of Remote Sensing Images

Tsun Kuo Lin

doi:10.4028/www.scientific.net/AMR.787.932

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 787A Region-Growing Adaptation-Based Algorithm for...

A Region-Growing Adaptation-Based Algorithm for the Smart Detection of Remote Sensing Images

Abstract:

This study proposes an adaptive region-growing-based method that efficiently detects remote sensing images. To achieve efficient classification, the pixels in the regions produced by the region-growing procedure are used to classify various objects. An adaptive algorithm based on the proposed efficient classification method can automatically detect the remote images through Wi-Fi. Experiments show that the adaptive region-growing algorithm can achieve smart detection. The proposed method achieves better results than existing methods.

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Periodical:

Advanced Materials Research (Volume 787)

Pages:

932-937

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.787.932

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Online since:

September 2013

Authors:

Tsun Kuo Lin

Keywords:

Adaptive Method, Image Detection, Image Segmentation, Region Growing

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