Automatic human spermatozoa detection in microscopic video streams based on OpenCV

机译：基于OpenCV的微观视频流中的人类精子自动检测

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The analysis of semen plays an important role in male fertility evaluations [5]. Computer-aided Sperm Analysis systems have been working on providing more accurate information about the sperm motility and quantity. However, the existing sperm detection algorithms which segment sperms according to grey levels are not able to preclude bright non-sperm objects, like the round cells. The contribution of this paper is a solution to this problem. The use of Gaussian-modeling method makes our algorithm able to filter the bright non-target objects. We also apply the morphological image processing method to our algorithm to improve the targets dispersion quality. This algorithm has good prospects and accomplishes both an accuracy of 95% in average and a real-time processing according to our tests. It is helpful for semen quality analysis, eugenics and testtube babies.

机译：精液分析在男性生殖力评估中起着重要作用[5]。计算机辅助精子分析系统一直致力于提供有关精子活力和数量的更准确信息。但是，现有的根据灰度水平对精子进行分割的精子检测算法无法排除圆形细胞等明亮的非精子物体。本文的贡献是解决这个问题的方法。高斯建模方法的使用使我们的算法能够过滤明亮的非目标对象。我们还将形态图像处理方法应用于我们的算法，以提高目标色散质量。该算法具有良好的前景，根据我们的测试，该算法平均可达到95％的准确度和实时处理。这对精液质量分析，优生学和试管婴儿很有帮助。

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来源
《BMEI 2012;International Conference on Biomedical Engineering and Informatics》|2012年|224-227|共4页
会议地点 Chongqing(CN);Chongqing(CN)
作者
Li Qiaoliang; Chen Xi; Zhang Huisheng; Yin Li; Chen Siping; Wang Tianfu; Lin Shumei; Liu Xinyu; Zhang Xiaofei; Zhang Ruikai;
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作者单位

National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Department of Biomedical Engineering, School of Medicine, Shenzhen University, Shenzhen 518060, China Authors;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Counting; Detection; Moving object detection; Semen analysis; Spermatozoa; Video processing;

机译：计数;检测;运动物体检测;精液分析;精子;视频处理;;

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1. An Approach to Automatic Real-Time Novelty Detection, Object Identification, and Tracking in Video Streams Based on Recursive Density Estimation and Evolving Takagi-Sugeno Fuzzy Systems [J] . Plamen Angelov, Pouria Sadeghi-Tehran, Ramin Ramezani International Journal of Intelligent Systems . 2011,第3期

机译：基于递归密度估计和发展的Takagi-Sugeno模糊系统的视频流自动实时新颖性检测，目标识别和跟踪
2. Automatic ROI Detection and Evaluation in Video Sequences Based on Human Interest [J] . Mohammad Rokunuzzaman, Kosuke Sekiyama, Toshio Fukuda Journal of robotics and mechatronics . 2010,第1a125期

机译：基于人类兴趣的视频序列中的ROI自动检测和评估
3. Silhouette Based Human Motion Detection and Recognising their Actions from the Captured Video Streams [J] . Deepak. N. A, Dr.U. N. Sinha International Journal of Advanced Networking and Applications . 2011,第5期

机译：基于轮廓的人体运动检测并从捕获的视频流中识别其动作
4. Automatic human spermatozoa detection in microscopic video streams based on OpenCV [C] . Li Qiaoliang, Chen Xi, Zhang Huisheng, International Conference on Biomedical Engineering and Informatics . 2012

机译：基于OpenCV的微观视频流中的自动人体精子检测
5. Acute Stress Detection in Humans through Resonant Field Imaging System and a Video-based Filtering Technique to Measure Stress from a Distant Point [D] . Raveendra, Rakesh. 2018

机译：通过谐振场成像系统和基于视频滤波技术来测量远处的急性应力检测
6. An Automatic Bleeding Frame and Region Detection Scheme for Wireless Capsule Endoscopy Videos Based on Interplane Intensity Variation Profile in Normalized RGB Color Space [O] . Amit Kumar Kundu, Shaikh Anowarul Fattah, Mamshad Nayeem Rizve 2018

机译：基于归一化RGB颜色空间中平面间强度变化曲线的无线胶囊内窥镜视频自动出血帧和区域检测方案
7. Mixture gaussian V2 based microscopic movement detection of human spermatozoa [O] . Ariyono Setiawan, I Gede Susrama Mas Diyasa, Moch Hatta, 2020

机译：混合基于高斯V2的人精子的微观运动检测

Automatic human spermatozoa detection in microscopic video streams based on OpenCV

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