Fragrant pear sexuality recognition with machine vision

Benxue Ma; Yibin Ying

doi:10.1117/12.686539

23 October 2006 Fragrant pear sexuality recognition with machine vision

Benxue Ma, Yibin Ying

Proceedings Volume 6381, Optics for Natural Resources, Agriculture, and Foods; 63811A (2006) https://doi.org/10.1117/12.686539
Event: Optics East 2006, 2006, Boston, Massachusetts, United States

Abstract

In this research, a method to identify Kuler fragrant pear's sexuality with machine vision was developed. Kuler fragrant pear has male pear and female pear. They have an obvious difference in favor. To detect the sexuality of Kuler fragrant pear, images of fragrant pear were acquired by CCD color camera. Before feature extraction, some preprocessing is conducted on the acquired images to remove noise and unnecessary contents. Color feature, perimeter feature and area feature of fragrant pear bottom image were extracted by digital image processing technique. And the fragrant pear sexuality was determined by complexity obtained from perimeter and area. In this research, using 128 Kurle fragrant pears as samples, good recognition rate between the male pear and the female pear was obtained for Kurle pear's sexuality detection (82.8%). Result shows this method could detect male pear and female pear with a good accuracy.

Citation Download Citation

Benxue Ma and Yibin Ying "Fragrant pear sexuality recognition with machine vision", Proc. SPIE 6381, Optics for Natural Resources, Agriculture, and Foods, 63811A (23 October 2006); https://doi.org/10.1117/12.686539

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