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首页> 外文期刊>Journal of nannoplankton research: A publication of the International Nannoplankton Association >A semi-automated identification and semi-manual tally system for calcareous nannoplankton using light microscope images
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A semi-automated identification and semi-manual tally system for calcareous nannoplankton using light microscope images

机译:利用光学显微镜图像对钙质纳米浮游生物进行半自动识别和半人工计数系统

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摘要

Coccolith identification is a labor-intensive process, but the recent application of image recognition technology has reduced the time needed for this task. Beaufort & Dollfus (2004) introduced a real-time coccolith recognition system called the Système de Reconnaissance Automatique de Coccolithes (SYRACO). However, these recognition programs often miss broken or tilted coccoliths, which otherwise would have been correctly identified during a manual tally. Therefore, a system that combines both computer-aided and semi-manual tallies may be more beneficial.
机译:球藻的识别是一项劳动密集型过程,但是图像识别技术的最新应用减少了完成此任务所需的时间。 Beaufort&Dollfus(2004)引入了一种实时的球石识别系统,称为“自动球菌侦查系统”(SYRACO)。但是,这些识别程序通常会遗漏破碎的或倾斜的可可石,否则这些原石将在手动理货过程中被正确识别。因此,将计算机辅助计数和半手工统计相结合的系统可能会更有益。

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