Research on Applied-Information Technology Based on the Improved NCC Identification of Fruit and Vegetables

Lu Lu Zhuang; Yan Qing Wang; Zhen Wei Zhang

doi:10.4028/www.scientific.net/AMR.1046.392

Paper Titles

Projection Method for Material Selection Problem with Triangular Fuzzy Numbers
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Applied-Information Technology in Adaptive Kalman Filter with Model Error and Noise Error
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Applied-Information Technology with Speech Enhancement Based on EMD and MF
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Information Processing with Fuzzy S-P Evaluation Method and Application in Evaluating Teaching Quality
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Research on Applied-Information Technology Based on the Improved NCC Identification of Fruit and Vegetables
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Data Processing in Biological Behavior Analysis of a Delayed Impulsive Lotka-Volterra Model with Mutual Interference
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Data Processing with Combined Homotopy Methods for a Class of Nonconvex Optimization Problems
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A General Model for Low-Illumination Video Enhancement
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Applied Technology in Multidimensional Color Image Scaling Based on NASS in a Quantum System
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Research on Applied-Information Technology Based on the Improved NCC Identification of Fruit and Vegetables

Abstract:

NCC algorithm for the shortcomings, namely the operation is slow and does not have a real-time. Through multi-valued by differential summation and template matching methods for NCC to improve , it enhances the computing speed of the algorithm and adaptive algorithm. Through lots of experiments to prove, using improved NCC to identify fruits and vegetables, The algorithm has good recognition of fruits and vegetables and has robustness and real-time performance.