Title: Apple image fusion algorithm based on binocular acquisition system

Authors: Liqun Liu; Yubo Zhou; Renyuan Gu

Addresses: College of Information Science and Technology, Gansu Agricultural University, Lanzhou 730070, Gansu Province, China ' College of Information Science and Technology, Gansu Agricultural University, Lanzhou 730070, Gansu Province, China ' College of Information Science and Technology, Gansu Agricultural University, Lanzhou 730070, Gansu Province, China

Abstract: To solve the problem that single natural scene image acquisition information in an orchard cannot meet the requirements of accurate fruit recognition and target positioning, a new apple image fusion algorithm based on the binocular acquisition system named New Non-sub-sampled Contourlet Transform algorithm is proposed to obtain a high-quality fusion image. The binocular acquisition system is constructed with the Time of Flight industrial camera and the colour camera. In order to achieve a better fusion effect, a parameter optimisation algorithm based on an Artificial Bee Colony algorithm with discard strategy for brightness saliency function is proposed to optimise the low-frequency component parameters of the new fusion coefficient rule. The experiments were taken on series of apple images under three sunlight conditions in the orchard. The experimental results show that the six evaluation indicators obtained by the new algorithm achieve the expected fusion image effect under three different types of sunlight conditions.

Keywords: binocular acquisition system; ToF; camera calibration; image fusion.

DOI: 10.1504/IJCAT.2022.126098

International Journal of Computer Applications in Technology, 2022 Vol.69 No.1, pp.73 - 85

Received: 15 Jul 2021
Accepted: 05 Sep 2021
Published online: 11 Oct 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article