An Image Sub-pixel Edge Detection Algorithm of Plant Roots Based on Non-linear Fourth-order Interpolation Method

Content Provider	CiteSeerX
Author	Peng, Wu Wenlin, Li Wenlong, Song Jun, Cao
Abstract	To improve the accuracy of digital image edge detection, an ENO nonlinear fourth-order interpolation based subpixel edge detection algorithm was proposed in this paper. A stencil was constructed through classical Canny operator, followed by processing gray images to generate gradient images. ENO nonlinear fourth-order interpolation was applied in the gradient direction of target edges, and then subpixel subdivision computation was performed to obtain subpixel accurate locations of target edges, the performance of our edge detection algorithm was compared with that of centered cubic convolution and non-centered cubic convolution based edge detection methods. Simulation results demonstrated that the ENO based interpolation detection algorithm improved the abilities of detecting image edges.
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Subject Keyword	Non-linear Fourth-order Interpolation Method Plant Root Image Sub-pixel Edge Detection Algorithm Target Edge Eno Nonlinear Fourth-order Interpolation Non-centered Cubic Convolution Subpixel Accurate Location Simulation Result Centered Cubic Convolution Gradient Image Edge Detection Method Image Edge Digital Image Edge Detection Gray Image Interpolation Detection Algorithm Edge Detection Algorithm Subpixel Edge Detection Algorithm Gradient Direction Classical Canny Operator Subdivision Computation
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