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Research on Corn Seed Varieties Intelligent Identification System

Author: ShiZhongHui
Tutor: LiuXianXi
School: Shandong Agricultural University
Course: Mechanical Design and Theory
Keywords: Corn seed Species identification Neural Network Image Processing Support Vector Machine
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 80
Quote: 1
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Abstract


With computers and the rapid development of information technology , the application of computer vision automatically detect seed resource quality, is to achieve agricultural testing automation and intelligent inevitable trend. In this paper, computer vision and pattern recognition theory, select Zheng 958 , CAU 108 , Lu Shan 981, Zhengdan 6028 , Liaoyu the 2nd five maize varieties as object recognition , image information obtained corn seed and characteristic parameters through dimensionality reduction for characteristic parameters optimized to establish the optimal classification model , the realization of intelligent recognition of corn seed varieties , improved recognition accuracy and efficiency of five maize varieties average correct recognition rate above 96% . 1 . Improved image acquisition system to improve the image quality of maize seed . Major improvements to the lighting chamber , improved lighting effects , and further improve the image quality of corn seeds , corn seeds help to improve the accuracy of feature extraction and intelligent recognition accuracy. (2) the use of advanced image preprocessing algorithm , improving the pre- image effects. Background segmentation process, using the minimum error probability method in maize seeds to get the red component grayscale image binarization threshold . In order to improve image quality and accuracy of feature extraction , image median filtering and morphological processing to obtain a precise contour image of corn seeds . 3 presents the principal component analysis and support vector machine algorithm combining the characteristics of corn seed processing parameters were optimized dimensionality reduction . Will reflect the morphological characteristics of maize seed characteristic parameters of 19 , after a principal component analysis and processing, select the top five principal components as the final classification features , greatly simplifying the classification model . 4 using support vector machine as a species recognition algorithm , improved maize seed varieties recognition accuracy. The principal component analysis PCA characteristics obtained as the final classification features input support vector machine classification established model of Zheng 958 , CAU 108 , Lu Shan 981, Zhengdan 6028 , Liaoyu the 2nd five kinds of corn seeds for species identification test, the correct rate of 95 %, 97 %, 95 %, 100 %, 98% . 5 Based on VC 6.0 and MATLAB7.0 developed a corn seed varieties intelligent recognition software systems through functional testing proved that the software user-friendly for corn seed has a high recognition rate , and has flexible scalability.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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