Experiments on both synthetic and real images showed that our method can capture most of the salient structures, while reduce largely the distracting edge elements due to texture or cluttered background.
通过对合成图像与真实图像进行试验,结果显示本文方法不但能够有效提取出图像中显著的线结构,同时还能抑制那些由纹理或复杂背景产生的干扰边缘。
参考来源 - 图像线结构提取与区域分割方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
In this paper we develop a new fingertip detection method in cluttered background.
本文提出了一种简单有效的复杂背景下的实时的指尖检测方法。
Detecting, recognizing and tracking moving targets in cluttered background is important to IR imaging guidance systems.
复杂背景下的运动目标检测、识别和跟踪对红外成像制导系统具有重要意义。
We propose an improved algorithm based on fractal dimension and third-order characterization to detect dim target with cluttered background in an infrared (IR) image.
为解决复杂背景下的红外弱小目标检测问题，提出了一种基于分维和三阶特征量的改进方法。
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