具有方向可调节性的边缘检测器的设计问题。
利用软数学形态学中基本算子构造了一种新的边缘检测器，并将其用于医学图像的边缘检测。
A new edge detector is constructed by using the basic operators in soft mathematical morphology and it is applied to detect the edges of medical images.
数学形态学边缘检测器能克服线性边缘检测器的一些缺点，但是存在宽边缘，导致边缘分辨率较低。
Morphological gradient is a nonlinear edge detector that can overcome the some drawbacks of the linear edge detector. Wide edges detected by morphological gradient cause the low edge resolution.
文中研究有序统计平均(osca)恒虚警检测器在K分布杂波边缘中的性能。
The performance of ordered statistic with cell averaging (OSCA) CFAR detector under K-distribution clutter edge situation was studied.
研究有序统计选大(osgo)恒虚警检测器在K分布杂波边缘中的性能。
The performance of the Ordered Statistic with Greatest Option CFAR (OSGO-CFAR) detector in K-distribution clutter edge is studied.
模式识别的原则与特征检测器的理论相关，而图象清晰的方法是采用马赫带（主观边缘对比效应）原理的结果。
The law of pattern recognition is interrelated to the theory of feature detectors. The method of graph clarity is the result of adopting the law of Mach band(subjective fringing contrast effect).
结果表明，OSCAGO的抗边缘干扰性能比这三种CFAR检测器均有明显增强。
The results show that the anti-clutter-edge performance of OSCAGO is obviously better than that of the three CFAR detectors.
文中推导出了它在干扰边缘环境中虚警概率的解析表达式，分析了它抗边缘干扰的性能，并且与GO、OS和CA - CFAR检测器进行了比较。
We derive the analytic expressions of false alarm probabilities under clutter edge situation, analyse its performances against clutter edge, and compare it with the GO, OS and CA-CFAR detectors.
文中推导出了它在干扰边缘环境中虚警概率的解析表达式，分析了它抗边缘干扰的性能，并且与GO、OS和CA - CFAR检测器进行了比较。
We derive the analytic expressions of false alarm probabilities under clutter edge situation, analyse its performances against clutter edge, and compare it with the GO, OS and CA-CFAR detectors.
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