传统的水果分级与损伤检测大多采用感官评定的方法,随着计算机视觉技术的发展,计算机视觉检测分级技术发展迅速。研究中针对解决水果损伤部位检测的问题提出了一种利用图像处理技术对水果热成像损伤部位进行检测的技术方案。本方案采用L...传统的水果分级与损伤检测大多采用感官评定的方法,随着计算机视觉技术的发展,计算机视觉检测分级技术发展迅速。研究中针对解决水果损伤部位检测的问题提出了一种利用图像处理技术对水果热成像损伤部位进行检测的技术方案。本方案采用Laplacian of Gaussian(LoG)算法对损伤部位进行检测,使用高斯卷积模板抑制噪声,通过设置不同的卷积核尺寸以及σ值获得不同的卷积滤波结果,加强了图像中损伤部位的色彩程度,进而更好地利用边缘检测技术获取损伤部位的边缘信息。采用具有局部损伤的苹果作为研究对象,选取有参考和无参考等5种评价方法,分析卷积过程对于损伤部位边缘检测的影响。结果表明,在水果热成像中LoG算法可以有效地检测水果的损伤部位,卷积核尺寸对于水果损伤部位边缘检测结果的影响远大于σ值,通过增大卷积核尺寸可以有效地加深损坏部分的边缘信息,研究为水果损伤区域检测提供了一种可行的解决方案。展开更多
Turbo decoding is iterative decoding, and the MAP algorithm isoptimal in terms of performance in Turbo decoding. The log-MAPalgorithms is the MAP executed in the logarithmic domain, so it isalso optimal. Both the MAP ...Turbo decoding is iterative decoding, and the MAP algorithm isoptimal in terms of performance in Turbo decoding. The log-MAPalgorithms is the MAP executed in the logarithmic domain, so it isalso optimal. Both the MAP and the log-MAP algorithm are complicatedfor implementation. The max-log MAP algorithm is de- Rived from thelog-MAP with approximation, which is simply compared with the log-MAPalgorithm but is subopti- Malin terms of performance. A modifiedmax-log-MAP algorithm is presented in this paper, based on the TaylorSeries of logarithm and exponent. Analysis and simulation resultsshow that modified max-log-MAP algorithm Outperforms the max-log-MAPalgorithm with almost the same complexity.展开更多
文摘传统的水果分级与损伤检测大多采用感官评定的方法,随着计算机视觉技术的发展,计算机视觉检测分级技术发展迅速。研究中针对解决水果损伤部位检测的问题提出了一种利用图像处理技术对水果热成像损伤部位进行检测的技术方案。本方案采用Laplacian of Gaussian(LoG)算法对损伤部位进行检测,使用高斯卷积模板抑制噪声,通过设置不同的卷积核尺寸以及σ值获得不同的卷积滤波结果,加强了图像中损伤部位的色彩程度,进而更好地利用边缘检测技术获取损伤部位的边缘信息。采用具有局部损伤的苹果作为研究对象,选取有参考和无参考等5种评价方法,分析卷积过程对于损伤部位边缘检测的影响。结果表明,在水果热成像中LoG算法可以有效地检测水果的损伤部位,卷积核尺寸对于水果损伤部位边缘检测结果的影响远大于σ值,通过增大卷积核尺寸可以有效地加深损坏部分的边缘信息,研究为水果损伤区域检测提供了一种可行的解决方案。
文摘Turbo decoding is iterative decoding, and the MAP algorithm isoptimal in terms of performance in Turbo decoding. The log-MAPalgorithms is the MAP executed in the logarithmic domain, so it isalso optimal. Both the MAP and the log-MAP algorithm are complicatedfor implementation. The max-log MAP algorithm is de- Rived from thelog-MAP with approximation, which is simply compared with the log-MAPalgorithm but is subopti- Malin terms of performance. A modifiedmax-log-MAP algorithm is presented in this paper, based on the TaylorSeries of logarithm and exponent. Analysis and simulation resultsshow that modified max-log-MAP algorithm Outperforms the max-log-MAPalgorithm with almost the same complexity.
