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研究钢丝绳断丝准确性检测系统,提高检测的准确率。钢丝绳的断丝极为细微,由于数量巨大,会存在断丝局部断丝混搭,容易造成光谱图像中断丝像素的虚连接,造成图像模糊。传统的基于图像融合的钢丝绳断丝检测方式,在图像连接位置对断丝图像的连接情况检查,由于像素虚连接的存在,会出现像素重叠或者扭曲的现象,造成断丝特征检测准确率过低。为了避免上述问题,提出了一种基于高光谱图像的钢丝绳断丝检测系统。完成对图像进行初始化处理,通过改进无缝融合算法对图像连接位置差异像素进行细丝像素虚连校验处理,提高连接位置像素的精度,准确对融合像素进行断丝检测。实验证明,改进检测系统能够提高检测的准确率,为货物装卸安全性能提供了保证。
Research wire rope breakage accuracy testing system to improve the accuracy of testing. The broken wire of the wire rope is extremely subtle. Due to the huge number of wires, the partial broken wire of the broken wire may be mixed and arranged, which may easily cause the virtual image of the broken broken wire of the spectral image to be broken and cause the image to be blurred. The traditional method of wire rope breakage detection based on image fusion checks the connection of broken images in the image connection position. Due to the existence of the virtual connection of the pixels, the phenomenon of pixel overlapping or twisting occurs, which leads to the low detection accuracy of broken wire features . In order to avoid the above problems, this paper proposes a wire rope breakage detection system based on hyperspectral images. The initialization of the image is completed. The fused pixel virtual concatenated verification algorithm is implemented by improving the seamless fusion algorithm to improve the accuracy of the pixel in the connected position and accurately detect the broken pixels in the fused pixels. Experiments show that the improved detection system can improve the accuracy of detection and provide a guarantee for the safety performance of cargo handling.