Department of Computer Science and Technology, Dezhou University, China

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Abstract—It uses of computer vision technology to realize food quality detection by image analysis and extract the feature information of food from digital image. The localized power function mapping algorithm (LPFM) excels traditional ones in image enhancement effects for image with non_uniform brightness. This method has the advantage of high speed, high differentiation from image and lower background noise. The LPFM method plays a very good detection effect for food in the storage and transportation process.

Index Terms—localized power function mapping algorithm, food quality detection, computer vision

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Cite: Haijun Li, " Application Research of Food Quality Detection Based on Computer Vision," Journal of Computers vol. 8, no. 7, pp. 1758-1762, 2013.