基于图像处理的鱼类皮肤组织新鲜度识别方法

Namita Sengar, V. Gupta, M. Dutta, C. Travieso
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引用次数: 10

摘要

鱼的品质主要受不同冷却方法、出口、处理等因素的影响。本文提出了一种基于图像处理技术的无损鱼类新鲜度识别框架。本文选择皮肤组织作为焦点组织,对鱼类图像进行基本分析和新鲜度鉴定。在HSV颜色空间中提取统计特征,给出鱼新鲜度的降解模式,并用于设计鱼新鲜度识别框架。实验结果显示为单调降解模式。对鱼类图像进行了实验,结果令人鼓舞。所贡献方法的最大分类准确率为96.66%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image Processing Based Method For Identification Of Fish Freshness Using Skin Tissue
The quality of the fish is mainly altered by different cooling methods, exporting, handling etc. In this paper a nondestructive framework is proposed for identification of fish freshness using image processing techniques. In this paper skin tissue is selected as focal tissue for basic analysis and identification of freshness of fish from fish images. Statistical features are extracted in the HSV color space which gives degradation pattern for fish freshness which is used to design the framework for identification of fish freshness. The experiment result indicates monotonic degradation pattern. Experiments were carried on fish images and results are encouraging. The maximum classification accuracy of contributed methodology is 96.66%.
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