A new design scheme has been proposed that aim to realize real time, on line raw silk diameter measurement based on linear CCD (Charge Coupled Device) and FPGA (Field Programmable Gate Array).In this system, the samples of raw silk are placed in parallel light which reflect light through macro imaging is received by CCD image sensor. The research on how to improve precision of the system from theoretical approach to various functional modules parameter optimization. What's more, effects are solved in instability of light illumination and raw silk transparency, linear CCD's dark background imaging is chosen to avoid bright background image easily saturation, distortion caused by raw silk jitter is eliminated. system measurement accuracy reaches to±1µm,experimental results prove that research programme has certain feasibility and practicality.
Tuning the h y perparameters of Support Vector Machine (SVM) is an important wa y to improve the generalization performance of SVM. Because it is time consuming to seek for optimal parameters b y grid search method, the Ant Colon y Optimization (ACO) search method selecting parameters is presented in m y paper, which can acquire the best parameters of SVM .. M y research was done in Xijieri area, Qinghai province. Firstl y , anal y zed the behavior of SVM is anal y zed that have influence on the classrate; Secondl y , ACO algorithm is used for is designed and implemented,which is used for seeking for optimal SVM parameters; In the end, mineralized information is extracted b y ACO _ SVM. The experimental results show that ACO algorithm can seek for parameters quicklier and more satisfactoril y than grid search method; Through on the spot investigation and comparing with data of the known alteration areas in the mineral geolog y mapping of field, we find that extracting mineralized information b y ACO _ SVM is a good wa y .
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