A fast method for creation of the initial objects for FNEA image segmentation

doi:10.7523/j.issn.2095-6134.2014.04.007

Abstract

Abstract:

The fractal net evolution approach (FNEA) is an object-oriented segmentation method with high precision for high spatial resolution remote sensing images. However, experiments indicate that this method has two problems. It has considerable low execution efficiency, and the region merging criteria cannot be applied to a region object with single pixel. A fast scanning image segmentation method is proposed to generate initial region objects, and the region merging approach based on the minimum heterogeneity principle is applied to the FNEA. Experimental results show that the proposed method significantly improves efficiency by setting appropriate threshold parameters without loss of segmentation accuracy. So, the method has highly practical value in universality and reliability.

Key words: fractal net evaluation approach(FNEA), fast scanning image segmentation, high resolution remote sensing image, image segmentation

CLC Number:

TP751.1

DENG Fuliang, FAN Xieyu, WANG Gang, MA Juan. A fast method for creation of the initial objects for FNEA image segmentation[J]. , 2014, 31(4): 484-491.

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