High Recognition Ratio Image Processing Algorithm of Micro Electrical Components in Optical Microscope

Wu Jie, Zuren Feng, Lei Wang

Abstract


In order to process small components of original image under the microscope, firstly, this paper adopts median filtering algorithm to enhance targets; and the targets are sharpened by using lateral inhibition algorithm, the edge of targets is outlined. In order to get reliable target region, adaptive threshold segmentation algorithm is used to extract need target region, and characteristics of target is used to distinguish multiple targets. Based on the chip resistor, one tiny component, in the captured image, we judge if the chip resistor is qualified by calculating the pixels area values. The experimental results show that, the image processing algorithm and qualified detection algorithm is reasonable, which provides the theoretical basis and implementation method of effective target extraction and further qualified test.


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References


Wanghongmei. Research Progress on Image Matching. Computer engineering and Applications, 2004,Vol.19,No.2,pp 42-44.

H.O.Lim, W.Zhang, L.M.Koh. Automated visual inspection for IC wire-bond using auto-focusing technique.IEEE/CHMT Electronics Manufacturing Technology Symposium,1993, Vol.12, No.7, pp31-36.

Hanshan Li. Research on photoelectronics properties of array emitting diode and its light energy distribution in detection screen. Optik, 2014, Vol.125, No.3, pp1096-1100.

Bailifen, Xuyuxian,Yushui. Research on the microscope auto focus method based on Image processing. Chinese Journal of scientific instrument,1999,Vol.20, No.6, pp 612-614.

Peters W H, Ranson W F. Digital imaging techniques inexperimental stress analysis. Optical Engineering, 1982,Vol.21, No.3, pp427-432.

Pratt WK•Correlation Techniques of Image Registration . IEEE Traris AES,1974,Vol.10, No.3, pp353-357.

Hanshan Li, Zhiyong Lei. Projectile Two-dimensional Coordinates Measurement Method Based on Optical Fiber Coding Fire and its Coordinates Distributing Probability. Measurement Science Review, Vol.10, No.1, pp34-38, 2013.

Sunfeng, Sunyao. Image sharpening method and its application based on the principle of lateral inhibition. Technology and application of automation in Heilongjiang,1991,Vol.10, No.3, pp50-53

Chenbingquan, Liuhongli, Current situation and development direction of digital image processing technology. Journal of Jishou University: Natural Science Edition,2009,Vol.30, No.1, pp63-70.

Hanshan Li, Zhiyong Lei. Study and analysis on a new optical detection design method for photoelectric detection target. Sensor Review, 2013, Vol.33, No.4, pp315-322.

Gaoaihua, Zhuchuangui. Simulation studies of compound eye imaging experiment. Journal of Northwestern University (natural science edition). 1998, Vol.28, No.2, pp117-120.

Shum H Y, Szeliski R. Systems and experiment paper construction of panoramic image mosaics with global and local alignment. I. J. of Computer Vision, 2000, Vol.36, No.2, pp101-130.

Hanshan Li, Zhiyong Lei, Zemin Wang, Junchai Gao. Research on Objection Information Extraction Arithmetic in Photo-electric Detection Target Base on Wavelet Analysis Method. Przeglad Elektrotechniczny, 2012, Vol. 88, No. 9, pp157-161.

Yongxin Zhang, Li Chen, Zhihua Zhao, Jian Jia. Multi-focus Image Fusion with Sparse Feature Based Pulse Coupled Neural Network. TELKOMNIKA , 2014, Vol.12, No.2,pp357-366.

Hanshan Li, Zhiyong Lei, Zemin Wang, Junchai Gao. Research Object Photoelectric Characteristic and Fire Coordinate Distributing Probability in Across Screen System. Journal of Nanoelectronics and Optoelectronics, 2012, Vol.7, No.2, pp199-203.

Wangfeng,Liyanjun A new and Better Way of Extraeting Digital Image Edge. JOURNAL OF NORTHWESTERN POLYTECHNICAL UNIVERSI-TY, 1998,Vol.16, No.4, pp536-539.

Hanshan Li , Junchai Gao. Research on target photoelectricity track method and improved image processing arithmetic in dynamic targets detection system. Optik, 2014,Vol.125, No.14,pp 3590- 3595.

Zhang, Xiuping. The research of granular computing applied in image mosaic. Telkomnika, 2013, Vol. 11, No.3, p 537-546.




DOI: http://doi.org/10.12928/telkomnika.v12i4.304

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