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首页> 外文会议>Proceedings of the 2010 International Conference on Signal and Image Processing >Spermatozoa detection, counting and tracking in video streams to detect asthenozoospermia
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Spermatozoa detection, counting and tracking in video streams to detect asthenozoospermia

机译：视频流中精子的检测，计数和跟踪以检测弱精子症

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A semen analysis evaluates certain characteristics of a male's semen and the sperm contained in the semen. The chance of pregnancy will be reduced, if more than 50 percent of a man's sperm lack movement. Assessing the ability of sperm to move forward through the cervix into the fallopian tubes is a widely used measure of male infertility. Since the examination is done by a person through a microscope, a fairly simple system is used for classifying the spermatozoa. This paper proposes a technique to evaluate the motility of human spermatozoon which includes moving object detection, tracking and behavioral analysis. The objective is to measure the speed and quality of movement by tracking video clips of individual sperm cells. The approach chosen was frame differencing on consecutive frames, which identifies moving objects from the portion of a video frame that differs significantly from the previous frame. This method has less computation complexity, high recognition rate and a faster processing speed.
机译：精液分析评估了男性精液的某些特征和精液中含有的精子。如果人类精子的50％以上，怀孕的机会将减少，如果一个人的精子缺乏运动。评估精子通过子宫颈前进到输卵管中的能力是广泛使用的男性不孕症的衡量标准。由于考试通过显微镜通过显微镜完成，因此使用相当简单的系统用于对精子进行分类。本文提出了一种评价人精子的动力的技术，包括移动物体检测，跟踪和行为分析。目的是通过跟踪单个精子细胞的视频剪辑来测量运动的速度和质量。选择的方法是在连续帧上的帧差异，其识别来自与前一帧显着不同的视频帧的部分的移动对象。该方法具有较少的计算复杂性，高识别率和更快的处理速度。

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