Image segmentation of Huaniu apple based on pulse coupled neural
network and watershed algorithm

Qing Liu; Xiaolong Zhao; Hongping Yang; Limin Zhao; Weijun Ling; Xiaoshu Ma; Feiping Lu; Yuxiang Zhao

doi:10.1117/12.2634516

4 May 2022 Image segmentation of Huaniu apple based on pulse coupled neural network and watershed algorithm

Qing Liu, Xiaolong Zhao, Hongping Yang, Limin Zhao, Weijun Ling, Xiaoshu Ma, Feiping Lu, Yuxiang Zhao

Proceedings Volume 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021); 121721X (2022) https://doi.org/10.1117/12.2634516
Event: International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 2021, Nanchang, China

Abstract

It is the key step of automatic apple picking and sorting to segment of the apple image in natural environment using image information processing technology. In order to improve the intellectualization of apple picking process and effectively extract the target of image segmentation, a novel image segmentation method of Huaniu apple based on pulse coupled neural network (PCNN) and watershed algorithm is proposed. Firstly, the PCNN model is improved and optimized on the basis of image RGB to L*A*B space conversion. Then, the improved PCNN combined with watershed algorithm was used to segment the apple image on considering the image texture and color feature information. The theoretical analysis and experimental results show that the novel method is effectively able to segment target image, and can preserve the image details and the edges as well. The proposed algorithm has better subjective vision effect and objective quality than the traditional watershed and other related algorithms.

Citation Download Citation

Qing Liu, Xiaolong Zhao, Hongping Yang, Limin Zhao, Weijun Ling, Xiaoshu Ma, Feiping Lu, and Yuxiang Zhao "Image segmentation of Huaniu apple based on pulse coupled neural network and watershed algorithm", Proc. SPIE 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 121721X (4 May 2022); https://doi.org/10.1117/12.2634516

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available