基于图像处理的水体污染鱼类识别

Ritesh Maurya, M. Dutta, K. Říha, Petr Kritz
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引用次数: 3

摘要

由于工业废物、农业废物、废水和其他污水的排放,水体日益受到污染,进而对包括鱼类在内的生物的健康状况造成危害。提出的工作使用基于图像处理的框架来识别暴露在污染水中的鱼。提出的工作片段鱼鳃,并有助于识别纹理特征,可用于区分正常的鱼和鱼暴露于污染。从这些特征的统计分析可以看出,暴露于这些污染物的鱼鳃的结构特性发生了变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Image Processing based Identification of Fish Exposed to Polluted Water
Water bodies are getting polluted day by day due to discharge of industrial waste, agricultural waste, waste water and other effluents which in turn causing harm to health status to living organism including fish. The proposed work used an image processing based framework to identify the fish exposed to polluted water. The proposed work segments fish gills and contributes in identification of texture features that can be used to distinguish normal fish from fish exposed to pollution. It was evident from the statistical analysis of these features that there occured changes in the texture properties of fish gill which were exposed to such pollutants.
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