Globally Harmonized System Label detection using Color Segmentation

Thidarat Pinthong, M. Ketcham, Thittaporn Ganokratanaa, Patiyuth Pramkeaw, Narumol Chumuang
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Abstract

This paper presents an approach for color detection and segmentation based on Image Processing Process to retrieve candidate regions of GHS Sign. For color classification, where the dimension of each vector can be extended by a group of neighboring pixels. The experimental results are highly accurate and robust for our testing database, where samples are recorded on various states of environment. But in the meantime, it was found that the error processing. It is an image that looks asymmetrical image. It is impossible to detect the symbol GHS.
基于颜色分割的全局协调系统标签检测
提出了一种基于图像处理过程的颜色检测与分割方法,以检索GHS标志候选区域。对于颜色分类,其中每个向量的维度可以由一组相邻像素扩展。实验结果对我们的测试数据库具有很高的准确性和鲁棒性,其中样品记录在各种环境状态下。但与此同时,也发现了处理错误。这是一个看起来不对称的图像。不可能检测到GHS符号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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