Contour detection improved by frequency domain filtering of gradient image
We propose an intermediate computational step, frequency domain filtering of gradient image, to improve contour detection performance of gradient-based edge detectors. This step is inspired by analyzing the spectrum distribution of object contours and texture edges in the frequency domain of gradien...
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| Veröffentlicht in: | Science China. Information sciences 2014, Vol.57 (1), p.56-66 |
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| container_title | Science China. Information sciences |
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| creator | Qu, ZhiGuo Gao, YingHui Wang, Ping Wang, Peng Tan, XianSi Shen, ZhenKang |
| description | We propose an intermediate computational step, frequency domain filtering of gradient image, to improve contour detection performance of gradient-based edge detectors. This step is inspired by analyzing the spectrum distribution of object contours and texture edges in the frequency domain of gradient image. We illustrate the principle and efect of this step by adding it to the Canny edge detector. The resulting operator can selectively retain object contours and region boundaries, and meanwhile can dramatically reduce non-meaningful elements caused by textured background. We use several types of images to compare the proposed method and other related methods qualitatively and quantitatively. Experimental results show that the proposed method can efectively enhance the contour detection of Canny edge detector and achieves similar detection performance to two other related methods but runs faster. |
| doi_str_mv | 10.1007/s11432-012-4688-2 |
| format | Article |
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Information sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Qu, ZhiGuo</au><au>Gao, YingHui</au><au>Wang, Ping</au><au>Wang, Peng</au><au>Tan, XianSi</au><au>Shen, ZhenKang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Contour detection improved by frequency domain filtering of gradient image</atitle><jtitle>Science China. Information sciences</jtitle><stitle>Sci. China Inf. Sci</stitle><addtitle>SCIENCE CHINA Information Sciences</addtitle><date>2014</date><risdate>2014</risdate><volume>57</volume><issue>1</issue><spage>56</spage><epage>66</epage><pages>56-66</pages><issn>1674-733X</issn><eissn>1869-1919</eissn><abstract>We propose an intermediate computational step, frequency domain filtering of gradient image, to improve contour detection performance of gradient-based edge detectors. This step is inspired by analyzing the spectrum distribution of object contours and texture edges in the frequency domain of gradient image. We illustrate the principle and efect of this step by adding it to the Canny edge detector. The resulting operator can selectively retain object contours and region boundaries, and meanwhile can dramatically reduce non-meaningful elements caused by textured background. We use several types of images to compare the proposed method and other related methods qualitatively and quantitatively. Experimental results show that the proposed method can efectively enhance the contour detection of Canny edge detector and achieves similar detection performance to two other related methods but runs faster.</abstract><cop>Heidelberg</cop><pub>Science China Press</pub><doi>10.1007/s11432-012-4688-2</doi><tpages>11</tpages></addata></record> |
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| subjects | Canny边缘检测 Computer Science Contours Detectors Frequency domain analysis Image filters Information Systems and Communication Service Research Paper 图像滤波 梯度图像 检测性能 轮廓检测 边缘检测器 频域滤波 频谱分布 |
| title | Contour detection improved by frequency domain filtering of gradient image |
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