一種基于保角相位的圖像邊緣檢測新方法
doi: 10.11999/JEIT150364 cstr: 32379.14.JEIT150364
基金項(xiàng)目:
國家科技支撐計(jì)劃基金(2014BAF07B01)和中國紡織工業(yè)聯(lián)合會科技項(xiàng)目(2014066)
A New Approach for Image Edge Detection Based on Conformal Phase
Funds:
The National Science Technology Support Program of China (2014BAF07B01)
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摘要: 為了提高邊緣檢測精確度與抗噪性能，該文提出一種基于保角相位的圖像邊緣檢測新方法。該方法首先利用保角單演信號能夠表達(dá)不同本征維數(shù)的圖像局部結(jié)構(gòu)的特點(diǎn)，采用指數(shù)函數(shù)計(jì)算相位偏差，有效地抑制了相位一致模型邊緣檢測中產(chǎn)生的偽邊緣和噪聲，提高了邊緣檢測的精確度；其次，利用Poisson核在空域中有解析表示的優(yōu)勢，降低了算法復(fù)雜度。仿真實(shí)驗(yàn)結(jié)果表明，與現(xiàn)有的相位一致性圖像邊緣檢測方法相比，該方法提取的圖像邊緣更精確、更完整、更均勻，對噪聲具有更好的魯棒性，同時(shí)，計(jì)算復(fù)雜度較低。Abstract: To improve the image edge detection accuracy and anti-noise performance, a new approach for image edge detection based on conformal phase is proposed. Firstly, the proposed approach can effectively improve the precision of edge detection and restrain the false edge and noise by using respectively the conformal monogenic signal which could express local structure of the image with different intrinsic dimensions and an exponential function to calculate the phase deviation. Secondly, it can reduce the complexity of the algorithm by taking advantage of the Poisson kernel of existence of analytic representation in spatial domain. To demonstrate the advantages, the proposed approach is compared with the existing methods?of phase congruency based edge?detection. The simulation experiment results show that the proposed approach can extract image edge more accurately, more completely, and more uniformly, with better robustness to noise and lower computational complexity.
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