Application Research of Food Quality Detection Based on Computer Vision

Haijun Li

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Application Research of Food Quality Detection Based on Computer Vision

机译：基于计算机视觉的食品质量检测应用研究

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—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.

机译：- 电脑视觉技术用途实现食品质量检测的图像分析，提取来自数字图像的食物的特征信息。局部功率函数映射算法（LPFM）在图像增强效果中擅长与非拼接亮度的图像增强效果中的传统效果。该方法具有高速，高分辨率的优点，从图像和更低的背景噪声。 LPFM方法在储存和运输过程中对食物发挥着非常好的检测效果。

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《Journal of Computers》 |2013年第7期|共5页
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Haijun Li;
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Application Research of Food Quality Detection Based on Computer Vision

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