Abstract:

This paper studied the distribution characteristics of scattered light around peach pit using laser and computer vision technology combined with cutting step by step method similar to CT, and Matlab dealing with images to . The results showed that when incident light was stronger enough, the peach pit might affect the distribut of forward transmission light and backward scattering light. And the closer to the pit, the stronger the light was. After image treatment and data analysis, it was tentatively believed that fruit pit had played a role of weakening the strength of forward transmission light, i.e. the existence of fruit pit reduced the strength of transmission light signal. Light distribution of fruit internal tissues was affected by fruit pit. Within the tissues near peach pit, the gray curve no matter vertical or horizontal all accord with Gaussian distribution. Above results provided reference for realizing nondestructive detection of fruit internal quality by using laser image method from the optical point of view.

Key words: machine vision technology, characteristics of light intensity distribution, gray curve, gaussian distribution, Matalb

摘要： 为研究桃核周围的光场分布特性，采用激光与机器视觉技术，以类似医用CT的逐层切削法，用Matlab处理图像进行结果分析。当入射光强度足够大时，桃核会对其内部组织中的前向透射光和后向散射光的分布造成影响，越靠近桃核，其光强越强。经过图像处理与数据分析后，可初步认定果核在透射式光谱分析法中所起到的作用是削弱入射光的强度，即果核的存在降低了透射光的信号强度。水果内部组织的光场分布受到果核的影响，而且在桃核附近组织中，不论是纵向还是横向的灰度曲线都符合高斯分布。该结果从光学角度为利用激光图像法来实现水果内部品质的无损检测提供参考。

关键词: 机器视觉技术, 光强分布特性, 灰度曲线, 高斯分布, Matlab