Research on lower-layer computer vision processing algorithms in the detection of pear size

The lower-layer image processing algorithm is the basis of pear on-line automatic grading with machine vision. The image smoothing, image enhancement and image segmentation algorithms of the lower-layer image processing were analyzed and the lower-layer processing algorithm suitable to fruit grading was obtained in the work. The neighbor smoothing algorithm and median filtering algorithm of the image filtering were introduced in the work. The neighbor smoothing algorithm is that the gray value of any point within the image area is the average gray value of the neighborhood points. Median filtering is a nonlinear processing method to remove noise and its basic principle is that the value of a point of the digital image or digital sequence is replaced with the intermediate value of every point within its neighborhood. Image enhancement is to adopt a series of techniques to improve the visual effect. Image segmentation is to divide the digital image into a series of meaningful disjoint target or area.