Image Fusion for Apple Quality Detection

doi:10.3969/j.issn.1673-1689.2019.09.005

Home > Archive>Volume 38, Issue 9, 2019 >33-40. DOI:10.3969/j.issn.1673-1689.2019.09.005

Image Fusion for Apple Quality Detection
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                        10.3969/j.issn.1673-1689.2019.09.005
                    
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The damage of fruit not only affects the appearance quality，but also causes nutritional loss and bacterial infection. The purpose of this paper is to research an image fusion method for quality detection of fruit and then provide the damage information of fruit to farmers or distributors，which help them take early means to avoid greater economic losses. Firstly，low-frequency and high-frequency subbands are obtained by implementing the quaternion wavelet transform（QWT） on the visible image and the infrared image of apple. Secondly，the low-frequency coefficients are fused using the weighted average fusion rule based on the local average gradient. The high frequency coefficients are integrated by choose-max fusion rule based on guided filter. Finally，the fused image is obtained by using the inverse QWT after the fusion of the low frequency coefficients and high frequency coefficients. The experimental results show that the proposed method can preserve the detail texture of the epidermis in the visible light image and the secondary surface damage information detected in the infrared image. Therefore，the proposed method is helpful for improving the quality detection accuracy of apples.

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LUO Xiaoqing, YUAN Chenchen, CHAI Pengfei, LI Kai. Image Fusion for Apple Quality Detection[J]. Journal of Food Science and Biotechnology,2019,38(9):33-40.

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Online: March 31,2020
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