论文部分内容阅读
本文介绍了鱼类耳石微结构图像识别系统的工作原理和应用实例 ,该系统实现了对鱼类的耳石日轮的自动识别计数和测量日轮宽度 ,并将分析结果自动保存为Excel可识别格式的数据文件。用草鱼微耳石对该系统进行测试的结果表明 ,在随机抽取的 30个样本中 ,有 2 8个样本日轮自动识别的正确率为 1 0 0 % ,其余 2个样本经过手工修改后也能达到对日轮的完全识别。此外 ,采用 768× 5 82像素的BMP格式数字图像测量日轮宽度 ,计算机的分辨率比显微镜提高了约 1 3倍。该系统还可应用于鱼类的鳞片、胸鳍棘和脊椎骨等年龄鉴定材料的微结构分析
This paper introduces the working principle and application examples of fish otolith microstructure image recognition system. The system realizes the automatic identification counting and daily width measurement of the otolith day wheel of fish, and automatically saves the analysis result as Excel Identify the format of the data file. The results of testing this system with grass carp otolith indicate that among 30 random samples, 28% of the samples automatically recognize the date of the day with a correct rate of 100%, and the remaining 2 samples are manually modified Can achieve the complete identification of the Japanese round. In addition, using a 768 × 5 82 pixel BMP format digital image measuring day wheel width, the resolution of the computer is about 13 times higher than the microscope. The system can also be applied to the microstructure analysis of age-identifying materials such as scales, pectoral spines and vertebrae of fish