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一种基于灰度直方图的分割阈值自动检测方法 被引量:4
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作者 邱利军 景胜强 +2 位作者 李云涛 张波 涂超 《地理空间信息》 2015年第6期115-117,14,共3页
提出一种新的灰度直方图阈值点自动提取算法——最大落差搜索法。利用灰度直方图直观特点,计算统计直方图峰值和谷值。选取最大峰值点为基准点,其余峰值点到基准点区域中,任意非最大峰值点与区域中所有谷值点所形成的最大落差,选取最大... 提出一种新的灰度直方图阈值点自动提取算法——最大落差搜索法。利用灰度直方图直观特点,计算统计直方图峰值和谷值。选取最大峰值点为基准点,其余峰值点到基准点区域中,任意非最大峰值点与区域中所有谷值点所形成的最大落差,选取最大落差集合中的最大值,对应该值的低谷值点即为分割阈值点。该方法能够准确得到分割图像的阈值。 展开更多
关键词 灰度直方图 阈值自动检测 图像分割 最大落差搜索法
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PERFORMANCE EVALUATION OF THE DOUBLE-THRESHOLD CFAR DETECTOR IN MULTIPLE-TARGET SITUATIONS 被引量:2
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作者 Mohamed B. El Mashade 《Journal of Electronics(China)》 2006年第2期204-210,共7页
In radar systems of automatic detection, an estimate of background clutter power is used to set the detection threshold. An interference saturated environment is frequently encountered in these systems (multiple targe... In radar systems of automatic detection, an estimate of background clutter power is used to set the detection threshold. An interference saturated environment is frequently encountered in these systems (multiple target situations). Therefore, the detection of signals in such an environment becomes one of the most important problems to be solved. The double-threshold algorithm is one of the more interesting detectors used in these situations. While the first threshold operation ensures that the calculation of the detection (second) threshold is based on a set of samples which is free of strong interferers and is therefore much more representative of the noise level, the second threshold is used to declare the presence or the absence of the radar target. The object of the present paper is to analyze the performance of such type of CFAR schemes when the radar receiver contains a noncoherent integrator amongst its basic elements. It is found that the processor detectabil ity loss is very low and the performance degradation, caused by interferers is quite small even if the number of outlying targets is large, given that the first threshold is properly chosen. 展开更多
关键词 Double-threshold CFAR detector Noncoherent integration Multitarget environments Swerling target fluctuation model
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