Smoke Segmentation Method Based on Improved Differential Box-Counting Fractal Dimension

Hai-jing, 于海晶 Yu; Gui-ju, 李桂菊 Li

doi:10.3788/yjyxs20132801.0115

液晶与显示

2013

DOI: 10.3788/yjyxs20132801.0115

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Smoke Segmentation Method Based on Improved Differential Box-Counting Fractal Dimension

于海晶 Yu Hai-jing¹,

李桂菊 Li Gui-ju²

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An Image Segmentation Calculation Based on Differential Box-Counting of Fractal Geometry

Cheng

et al. 2015

AMM

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Differential box-counting of fractal geometry has been widely used in image processing.A method which uses the differential box-counting to segment the gathered images is discussed in this paper . It is to construct a three-dimensional gray space and use the same size boxes to contain the three dimensional space.The number of boxes needed to cover the entire image are calculated .Different sizes of boxes can receive different number of boxes, so least squares method is used to calculate the fractal dimension. According to the fractal dimension parameters, appropriate threshold is chose to segment the image by using binarization .From the handle case of bearing pictures can be seen that image segmentation based on differential box-counting method can get clear image segmentation .This method is easy to understand, to operate, and has important significance on computer image segmentation .

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An Image Segmentation Calculation Based on Differential Box-Counting of Fractal Geometry

Cheng

et al. 2015

AMM

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Smoke Segmentation Method Based on Improved Differential Box-Counting Fractal Dimension

Cited by 1 publication

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An Image Segmentation Calculation Based on Differential Box-Counting of Fractal Geometry

An Image Segmentation Calculation Based on Differential Box-Counting of Fractal Geometry

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