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Quality evaluation method of agricultural product packaging image based on structural similarity and MTF

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Abstract

With the rapid development of multimedia and communication technologies, image technology has become more and more widely used in agriculture. Aiming at the advantages of structural similarity and MTF combined algorithm, this paper proposes an image quality evaluation algorithm based on structural similarity and MTF, which mainly adopts improved gamma correction method, dual homomorphic filter correction method and illumination-independent graph method. The pre-processed image was subjected to the elimination of illumination treatment, and the experimental results of the above three methods were compared, and the experimental results of the images not subjected to illumination-independent processing were compared and analyzed. The experimental results show that the evaluation indexes of SSIM algorithm are better than other evaluation algorithms in general. The distortion in JPEG2000 image is mainly caused by the ringing effect at the edge of the image caused by wavelet transform and the blurring caused by quantization. The SSIM algorithm not only considers the edge information of the image, but also develops an illumination-invariant image recognition system, so it has obtained good evaluation results. The MATLAB research platform is used to analyze the image quality evaluation of agricultural products packaging. Through the analysis of subjective and objective evaluation results, the algorithm that combines structural similarity and MTF is superior to other algorithms.

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  1. Department of Art, Nanchong Vocational and Technical College, Nanchong, Sichuan, China

    Li Quan

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  1. Li Quan
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Correspondence to Li Quan.

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Quan, L. Quality evaluation method of agricultural product packaging image based on structural similarity and MTF. Cluster Comput 26, 1–12 (2023). https://doi.org/10.1007/s10586-020-03201-3

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  • DOI: https://doi.org/10.1007/s10586-020-03201-3

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