Title :
Judgment on level of maturity for tomato quality using L*a*b* color image processing
Author :
Gejima, Yoshinori ; Zhang, Houguo ; Nagata, Masateru
Author_Institution :
Fac. of Agric., Miyazaki Univ., Japan
Abstract :
This paper was described the judgment of Maturity for Tomato quality using color image processing. The image analysis were used for the RGB and L*a*b* color system. In the analyzes, the pixels count of G(36) showed the highest correlation coefficient from tomato maturity. But, the average value of a* of the tomato upper surface was more accurate maturity index than the radical regression curve of G(36).
Keywords :
agriculture; automatic optical inspection; computer vision; image colour analysis; quality control; RGB color system; color image processing; correlation coefficient; image analysis; maturity index; maturity level; radical regression curve; tomato maturity; tomato quality; Agricultural engineering; Agriculture; Educational institutions; Humans; Image color analysis; Image processing; Lighting; Machine vision; Safety; Turning;
Conference_Titel :
Advanced Intelligent Mechatronics, 2003. AIM 2003. Proceedings. 2003 IEEE/ASME International Conference on
Print_ISBN :
0-7803-7759-1
DOI :
10.1109/AIM.2003.1225540
