Basic studies on automatization of chrysanthemum cutting sticking operation, 1: Development of chrysanthemum cutting recognizing algorithm by use of color image and chain code
1998
Kondo, N. (Okayama Univ. (Japan). Faculty of Agriculture) | Ogawa, Y. | Monta, M.
A cutting sticking operation is laborious and requires long time especially for a large amount of chrysanthemum seedlings in Japan. In this paper, a detecting algorithm of chrysanthemum cutting is described for automation of the cutting sticking operation. An image of the chrysanthemum cutting was acquired by a color TV camera and a stem end of the cutting was detected on a thresholding image by combination to use MFN (Most Frequent Number) method based on chain code and a method to recognize the stem shape around a candidate point of the stem end. From the experimental results, it was observed that its success rate was 88% and that 1.5 seconds was required for the detection
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