The Application of Wavelet Transform and the Adaptive Threshold Segmentation in Image Change Detection

Abstract:

Change detection is widely used in various fields of the image processing, such as remote sensing image analysis for land resources. Change detection is to find out the differences between the images to get the information of the object changes by analysis the images of the different periods. In this paper, the wavelet method was conducted on the images of the polyester material before melting and melting and calculated the differences of wavelet coefficients. Then performed the wavelet inverse transform to get the wavelet difference image and conducted adaptive threshold segmentation. Finally the rate curve of melting process of polyester material was calculated by image change quantized value, which was concluded by the wavelet difference image binarization.

• Periodical: Advanced Materials Research (Volume 709)
• Pages: 547-550
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.709.547
• Online since: June 2013
• Authors: Zeng He, Zhong Wei Zhang, Han Feng, Long Wang
• Keywords: Change Detection, Remote Sensing, Threshold Segmentation, Wavelet Transform (WT)

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