DocumentCode :
2864861
Title :
Research on lower-layer computer vision processing algorithms in the detection of pear size
Author :
Zhao, Yanru ; Wang, Dongsheng
Author_Institution :
Coll. of Mech. & Power Eng., Henan Polytech. Univ., Jiaozuo, China
Volume :
10
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
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.
Keywords :
agricultural products; computer vision; image enhancement; image segmentation; median filters; object detection; fruit grading; image enhancement algorithm; image filtering; image segmentation algorithm; image smoothing algorithm; lower-layer computer vision processing algorithms; lower-layer image processing algorithm; machine vision; median filtering algorithm; neighbor smoothing algorithm; pear online automatic grading; pear size detection; Filtering; Filtering algorithms; Frequency modulation; Gray-scale; Image segmentation; computer vision; image enhancement image segmentation; image filtering; lower-layer image processing algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
Type :
conf
DOI :
10.1109/ICCASM.2010.5622665
Filename :
5622665
Link To Document :
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