一级黄色片免费播放|中国黄色视频播放片|日本三级a|可以直接考播黄片影视免费一级毛片

高級搜索

留言板

尊敬的讀者、作者、審稿人, 關(guān)于本刊的投稿、審稿、編輯和出版的任何問題, 您可以本頁添加留言。我們將盡快給您答復(fù)。謝謝您的支持!

姓名
郵箱
手機(jī)號碼
標(biāo)題
留言內(nèi)容
驗(yàn)證碼

一種基于梯度方向一致性的邊緣檢測新算法

李正 張海

李正, 張海. 一種基于梯度方向一致性的邊緣檢測新算法[J]. 電子與信息學(xué)報, 2016, 38(7): 1674-1681. doi: 10.11999/JEIT151130
引用本文: 李正, 張海. 一種基于梯度方向一致性的邊緣檢測新算法[J]. 電子與信息學(xué)報, 2016, 38(7): 1674-1681. doi: 10.11999/JEIT151130
LI Zheng, ZHANG Hai. An adaptive Edge Detection Approach Based on the Gradient Direction Consistency[J]. Journal of Electronics & Information Technology, 2016, 38(7): 1674-1681. doi: 10.11999/JEIT151130
Citation: LI Zheng, ZHANG Hai. An adaptive Edge Detection Approach Based on the Gradient Direction Consistency[J]. Journal of Electronics & Information Technology, 2016, 38(7): 1674-1681. 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

An adaptive Edge Detection Approach Based on the Gradient Direction Consistency

  • 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。
  • TSAI Piyu, CHANG C C, and HU Y C. An adaptive two-stage edge detection scheme for digital color images[J]. Real-Time Imaging, 2002, 8(4): 329-343. doi: 10.1006/rtim. 2001.0286.
    ZIOU D and TABBONE S. Edge detection techniques-an overview[J]. International Journal of Pattern Recognition Image Analysis, 2000, 8(4): 537-559.
    CANNY J. A computational approach to edge detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986, 8(6): 679-698. doi: 10.1109/TPAMI.1986. 4767851.
    GALVANIN E A S, DO VALE G M, and DAL POZ A P. The canny detector with edge region focusing using an anisotropic diffusion process[J]. Pattern Recognition and Image Analysis, 2006, 16(4): 614-621. doi: 10.1134/S1054661806040067.
    HANCOCK E R and KITTLER J. Adaptive estimation of hysteresis thresholds[C]. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Proceedings CVPR91), Maui, HI, USA, 1991: 196-201. doi: 10.1109/ CVPR.1991. 139687.
    RAY K. Unsupervised edge detection and noise detection from a single image[J]. Pattern Recognition, 2013, 46(8): 2067-2077. doi: 10.1016/j.patcog.2013.01.029.
    ZHANG Xiaochun and LIU Chuancai. An ideal image edge detection scheme[J]. Multidimensional Systems and Signal Processing, 2014, 25(4): 659-681. doi: 10.1007/s11045- 013-0224-9.
    SHUI P L and ZHANG W C. Noise-robust edge detector combining isotropic and anisotropic Gaussian kernels[J]. Pattern Recognition, 2012, 45(2): 806-820. doi: 10.1016/ j.patcog.2011.07.020.
    石美紅, 李青, 趙雪青, 等. 一種基于保角相位的圖像邊緣檢測新方法[J]. 電子與信息學(xué)報, 2015, 37(11): 2594-2600. doi: 10.11999/JEIT150364.
    SHI Meihong, LI Qing, ZHAO Xueqing, et al. A new approach for image edge detection based on conformal phase[J].Journal of Electronics Information Technology, 2015, 37(11): 2594-2600. doi: 10.11999/JEIT150364.
    許宏科, 秦嚴(yán)嚴(yán), 陳會茹. 一種基于改進(jìn)Canny的邊緣檢測算法[J]. 紅外技術(shù), 2014, 36(3): 210-214.
    XU Hongke, QIN Yanyan, and CHEN Huiru. An improved algorithm for edge detection based on canny[J]. Infrared Technology, 2014, 36(3): 210-214.
    HAO Fei, SHI Jinfei, ZHANG Zhisheng, et al. Canny edge detection enhancement by general auto-regression model and bi-dimensional maximum conditional entropy[J]. Optik, 2014, 125(15): 3946-3953. doi: 10.1016/j.ijleo.2014.01.153.
    XU Qian, VARADARAJAN S, CHAKRABARTI C, et al. A distributed Canny edge detector: algorithm and FPGA implementation[J]. IEEE Transactions on Image Processing, 2014, 23(7): 2944-2960. doi: 10.1109/TIP.2014.2311656.
    MORRONE M, ROSS J, BURR D, et al. Mach bands are phase dependent[J]. Nature, 1986, 324(6094): 250-253.
    KOVESI P. Image features from phase congruency[J]. Videre: Journal of Computer Uision Research, 1999, 1(3): 1-26.
    WANG Lijuan, ZHANG Changsheng, LIU Ziyu, et al. Image feature detection based on phase congruency by monogenic filters[C]. 2014 26th Chinese Control and Decision Conference (CCDC 2014), Changsha, China, 2014: 2033-2038. doi: 10.1109/CCDC.2014.6852502.
    FELSBERG M, and GERALD S. The monogenic signal[J]. IEEE Transactions on Signal Processing, 2001, 49(12): 3136-3144. doi: 10.1109/78.969520.
    KITCHEN L and ROSENFELD A. Edge evaluation using local edge coherence[C]. Proceedings SPIE Techniques and Applications of Image Understanding, Washington, D.C., USA, 1981: 284-298. doi: 10.1117/12.965757.
    BURNS J B, HANSON A R, and RISEMAN E M. Extracting straight lines[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986, 8(3): 425-455. doi: 10.1109/ TPAMI.1986.4767808.
    張志龍, 楊衛(wèi)平, 李吉成. 一種基于蟻群優(yōu)化的顯著邊緣檢測算法[J]. 電子與信息學(xué)報, 2014, 36(9): 2061-2067. doi: 10.3724/SP.J.1146.2013.01506.
    ZHANG Zhilong, YANG Weiping, and LI Jicheng. A novel salient image edge detection algorithm based on ant colony optimization[J]. Journal of Electronics Information Technology, 2014, 36(9): 2061-2067. doi: 10.3724/SP.J.1146. 2013.01506.
    岡薩雷斯. 阮秋琦, 阮宇智. 數(shù)字圖像處理第2版[M]. 北京:電子工業(yè)出版社, 2007: 464.
    BOWYER Kevin, KRANENBURG Christine and DOUGHERTY Sean. Edge detector evaluation using empirical ROC curves[J]. Computer Vision and Image Understanding, 2001, 84(1): 77-103. doi: 10.1006/cviu.2001. 0931.
  • 加載中
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

目錄

    /

    返回文章
    返回