Research on Image Processing-Based Accurate Measurement of Optical Microscopic Image


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Abstract


Objectives: images taken by optical microscope are a window to the research of microscopic world. How to quantify the images collected is a more complicated issue. To address this issue this research proposes a microscopic image processing method. Method: first, studied the inherent distortion parameters of camera lens to determine the distortion factor and correct the image error, and then binarized the images to simplify graphs and used improved Canny edge detection algorithm to calibrate the image contour, and ultimately by comparison with the reference realized precise measurement of microscopic images. Results: the experimental results show that the cell contour can be accurately depicted in this way; the final calculated results of area are consistent with the actual value. Conclusion: this method can accurately measure images under an optical microscope, thereby having a high practical value.
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Keywords


Image Processing; Microscopic Image; Distortion Correction

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References


Jing Wang, Haihong Mao, Junsheng Chen, Renguo Gu. Computer processing technical analysis on consolidation microscopic image of soft soil . Journal of Information and Computational Science . Vol.9 No.9, pp.2465-2473, 2012.

Yun, T., Wang, L., Medical images watermarking scheme based on cellular automata and STDM in curvelet domain, (2012) International Review on Computers and Software (IRECOS), 7 (4), pp. 1917-1925.

Wu, Q., Yan, X., Liu, H., Image matching algorithm based on improved genetic algorithm, (2012) International Review on Computers and Software (IRECOS), 7 (6), pp. 3068-3072.

Hause L.L., Clowry L.J., Cheng D.S., Geanon G.D., Megan, P.A.. Interpretation of microscopic image analysis of cell nuclei . Computerized Medical Imaging and Graphics . Vol. 14 No.4, pp.225-230, 1990 .

Xuelong Hu , Min Zhang ,Nan Jiang , Xiang Yin . An algorithm for microscopic image granularity calculation based on mathematical morphology .Journal of Computational Information Systems. Vol.6 No. 12, pp.4177-4183, 2010.

Li, Q., Gray-level image threshold segmentation based on double set FCM and improved intra-class minimum, (2012) International Review on Computers and Software (IRECOS), 7 (4), pp. 1819-1824.

Wei Feng , Wenxing Bao .A new technology of remote sensing image fusion. Telkomnika. Vol.10 No.3,pp.551-556, 2012.

Bai, Z., Zhou, M., Zhang, W., Song, Y., An image inpainting approach based on fractal, (2012) International Review on Computers and Software (IRECOS), 7 (1), pp. 297-300.

Feras N. Hasoon and Nebras N. Hasson. Image Restoration Using Nonlinear Filtering Based Random Trail Method, Journal of Theoretical and Applied Information Technology, Vol.45 No.2,pp.406-409,2012.

Balavivekanandhan A.,Sriram Arulchelvan. Research on computer based adult literacy. International Journal of Computer Science Issues . Vol.9 No.3, pp.161-169, 2012.

Xu, Y., Gao, C., Sun, Z., Li, C., Improved image matching and encryption algorithm based on polar transform and fourier transform, (2012) International Review on Computers and Software (IRECOS), 7 (2), pp. 701-705.

Wu, Z., An image filtering method based on improved particle swarm optimization algorithm, (2012) International Review on Computers and Software (IRECOS), 7 (3), pp. 1405-1411.


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