Intelligent Detection Method of Fruit Based on Improved SSIM Algorithm

摘要

To detect fruits within the scope of monitoring and improve the accuracy and stability of the test results. Considering the deficiencies of the traditional method which detects slowly and has poor adaptability to environment, a detection algorithm based on improved SSIM is proposed herein. Using the characteristics of SSIM that combines three comprehensive factors: image brightness, contrast and structural similarity to calculate the similarity of the image to improve the impact of environmental factors on the monitor screen of test results. And it gives full consideration to the efficiency of algorithm and improves the shortcomings of the traditional method. The experiments proved that the improved method can detect the fruit accurately and efficiently.