一種基于梯度方向一致性的邊緣檢測新算法

李正; 張海

doi:10.11999/JEIT151130

一種基于梯度方向一致性的邊緣檢測新算法

doi: 10.11999/JEIT151130

李正¹,
張海¹

計量
- 文章訪問數(shù): 1802
- HTML全文瀏覽量: 125
- PDF下載量: 1044
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2015-10-10
- 修回日期: 2016-02-26
- 刊出日期: 2016-07-19

An adaptive Edge Detection Approach Based on the Gradient Direction Consistency

LI Zheng¹,
ZHANG Hai¹

摘要

摘要: 為達(dá)到同時提取圖像的主要邊緣和微弱邊緣并有效抑制噪聲的目的，該文利用真實(shí)圖像邊緣兩側(cè)的灰度漸變性，以及邊緣點(diǎn)周圍灰度梯度的方向一致性好而非邊緣點(diǎn)周圍灰度梯度的方向一致性差的特點(diǎn)構(gòu)造了梯度方向和(SGD)指標(biāo)；并根據(jù)該指標(biāo)提出一種閾值自適應(yīng)的邊緣檢測算法。實(shí)驗(yàn)表明：梯度方向和在有效提取邊緣點(diǎn)的同時能較好地抑制高強(qiáng)噪聲；該指標(biāo)對光照和對比度變化有較強(qiáng)的魯棒性；將其用于閾值的自適應(yīng)調(diào)節(jié)，得到的基于梯度方向一致性的邊緣檢測方法能較好地解決兼顧弱邊緣檢測的同時而不引入噪聲干擾的問題。
- 邊緣檢測 /
- 梯度方向 /
- 一致性 /
- 抗噪 /
- 自適應(yīng)閾值
Abstract: A novel mathematical index about edge detection is constructed to indicate both conspicuous edges and inconspicuous edges in a gray-level image. The index called Sum of Gradient Direction (SGD) is derived from the basic idea that the gradient directions of the points surrounding the real edge point have good consistency while the gradient directions of those surrounding the noise point have poor consistency. According to the SGD index a new adaptive thresholding method to detect edges is proposed. A great quantity of experiments show that: the SGD index has the ability to distinguish both conspicuous edge points and inconspicuous edge points from the noisy points; the proposed novel edge detector utilizing the SGD to regulate the gradient threshold has the ability of detecting weak edges and suppressing noisy points at the same time.
- Edge detetion /
- Grident direction /
- Consistency /
- Anti-noise /
- Adaptive threshold

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