基于知识的线状目标边缘提取与识别定位
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O438

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国家攀登计划认知科学重大关键项目


KNOWLEDGE-BASED EDGE-DETECTION,RECOGNITION AND LOCATING OF LINE-FEATURED OBJECTS
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    摘要:

    介绍了基于知识的线状目标的边缘提到,特征表达与识别定位方法,边缘提取与特征表达充分析利用人类关于线状目标的知识,摈弃了传统的图像低,中层处理常用的数据驱动型方法。识别的过程将目标的边缘信息与原始图像的达度信息相结合,避免了复杂背景下图像理解的歧义性,同时圆满解决了由于航空图像的噪声高面蚓的边缘提取的不连续及由此带来的识别难题。本文计算量小,速度快,实用性强。

    Abstract:

    dge-detection, feature representation, recognition and locating algorithms of line-featured objects,taking full advantage of the knowledge about line-featured objects in the whole process, are presented in this paper. The traditional data-driving method,which is usually used in the low and intermediate level image processing, is abandoned in the process of edge detection and feature representation. The process of recognition and locating integrates the edge and gray-level information to avoid different interpretation of the same image, at the same time, to solve the recognizing difficulties caused by the discontinuous edges because of high noise in the aerial images successfully. The algorithms are of computing simplicity, speedy and of high practicality.

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沈丽琴 胡栋梁.基于知识的线状目标边缘提取与识别定位[J].红外与毫米波学报,1995,14(1):59~66]. Shen Liqin, Hu Dongliang, Qi Feihu. KNOWLEDGE-BASED EDGE-DETECTION, RECOGNITION AND LOCATING OF LINE-FEATURED OBJECTS[J]. J. Infrared Millim. Waves,1995,14(1):59~66.]

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