Robust and Efficient Cotton Contamination Detection Method Based on HSI Color Space
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摘要: 棉花杂质的有效检测和剔除对于棉花质量的控制具有重要意义. 本文提出了一种实用的棉花杂质高速检测方法. 该方法利用 3D-LUT 技术, 有效解决了颜色空间转换的时间耗损问题. 利用 HSI 颜色空间的色度和饱和度信息, 对棉花中的杂质进行高效检测和定位. 彩色运动补偿技术的应用, 弥补了相机在硬件上进行空间参数校正的不足, 降低了杂质的错误判别率. 实验结果表明, 该系统可以在 10ms 内完成 80 线棉流图像的采集、图像格式转换、杂质的检测和定位等全部过程. 在棉流速度为 18m/s, 杂质大小为 2×2mm2 的情况下, 杂质识别正确率可达到 95.4%.Abstract: Efficient detection and separation of cotton contamination is important for controlling the quality of cotton. A robust and efficient method of detecting the contamination in cotton is proposed. In this method, 3D-LUT is used to reduce the time of transformation between different color spaces. Cotton contamination is detected based on the discrimination of hue and saturation in HSI color space between cotton fibers and cotton contamination. Color motion compensation is used to improve the spatial correction and reduce the wrong recognition rate. The experiments show that our system can complete the total process of image capturing, format transformation and impurities identification in 10ms. Under a velocity of the cotton at 18m/s, the recognition rate can reach as high as 95.4% with an impurity size of 2×2mm2.
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Key words:
- HSI color space /
- cotton contamination /
- look up table /
- motion compensation
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