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Proceedings Paper

A line-scanned based digit image description method and its application in fruit quality inspection
Author(s): Xiuqin Rao; Yibin Ying
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Paper Abstract

A line-scanned based digit image description method was developed, where a digit image was scanned horizontally and the continuous pixel with similar information was described as a line segment, only the horizontal coordinate of the start pixel and the end were recorded to a node, and all the nodes on the same row were linked as a linked list called horizontal line list, all the horizontal line list of the image were stored in an array called image list by their vertical coordinate. The adjacent relationship between two vertical neighbor line segment was judged by the end coordinate of one line segment and the start of the others, in this way, all the adjacent horizontal line were move to a new array from image list to symbol an object, which was segmenting, where the operating of image filtering, object detecting, contour tracing was finished in one times. The method was applied to a realtime machine vision system (the computer is P4 1.8G, 128M RAM) for fruit quality inspection. The image resolution was 100 x 120, and the image of fruit on the image was about 40% to the whole. The processing rate was over 180 images per second.

Paper Details

Date Published: 19 November 2004
PDF: 8 pages
Proc. SPIE 5587, Nondestructive Sensing for Food Safety, Quality, and Natural Resources, (19 November 2004); doi: 10.1117/12.571264
Show Author Affiliations
Xiuqin Rao, Zhejiang Univ. (China)
Yibin Ying, Zhejiang Univ. (China)

Published in SPIE Proceedings Vol. 5587:
Nondestructive Sensing for Food Safety, Quality, and Natural Resources
Yud-Ren Chen; Shu-I Tu, Editor(s)

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