Line scan CCD image processing for biomedical application

Blood samples are frequently analyzed for the blood disorders or other diseases in the research and clinic applications. Most of the analyses are related to blood cell counts and blood cell sizes. In this paper, the line scan CCD imaging system is developed, which is based on the Texas Instruments' TMS320C6416T (DSP6416), a high performance digital signal processor and Altera's Field programmable Gate Array (FPGA) EP3C25F324. It is used to acquire and process the images of blood cells for counting the number of cells, sizing and positioning them. The cell image is captured by line scan CCD sensor and then the digital image data converted by Analogue Front-End (AFE) are transferred into FPGA, after pre-processing they are transferred into DSP6416 through the interface of First In First Out (FIFO) in FPGA and External Memory Interfaces (EMIF) of DSP6416. Then the image data are processed in DSP6416. Experimental results show that this system is useful and efficient.

[1]  Howard M Shapiro,et al.  Personal cytometers: Slow flow or no flow? , 2006, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[2]  Marek Gorgon,et al.  FPGA based controller for heterogenous image processing system , 2001, Proceedings Euromicro Symposium on Digital Systems Design.

[3]  Patrick Murphy,et al.  A DSP-based platform for wireless video compression , 2002, Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE.

[4]  Sheng Zhong,et al.  A DSP/FPGA - Based Parallel Architecture for Real-time Image Processing , 2006, 2006 6th World Congress on Intelligent Control and Automation.

[5]  Liang Kun,et al.  Development of Image Processing System Based on DSP and FPGA , 2007, 2007 8th International Conference on Electronic Measurement and Instruments.

[6]  Peter Rössler,et al.  Performance Benchmark of DSP and FPGA Implementations of Low-Level Vision Algorithms , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[7]  Naim Dahnoun,et al.  Implementation and Optimisation of a Video Object Segmentation Algorithm on an Embedded DSP Platform , 2006 .

[8]  Carlos Vivas,et al.  Parallel DSP based implementation of an automated visual quality inspection system , 1999, 1999 7th IEEE International Conference on Emerging Technologies and Factory Automation. Proceedings ETFA '99 (Cat. No.99TH8467).

[9]  Juan Antonio Gómez Pulido,et al.  Real time image processing with reconfigurable hardware , 2001, ICECS 2001. 8th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.01EX483).

[10]  M.K. Birla.  FPGA Based Reconfigurable Platform for Complex Image Processing , 2006, 2006 IEEE International Conference on Electro/Information Technology.

[11]  Michael Eisenstein,et al.  Cell sorting: Divide and conquer , 2006, Nature.

[12]  H. Arıkan,et al.  Erythrocyte sizes of some Urodeles from Turkey , 1998 .

[13]  Victor H. Hutchison,et al.  Number of Erythrocytes in Some Amphibians and Reptiles , 1965 .

[14]  H. Arıkan,et al.  Erythrocyte Sizes of Some Anurans From Turkey , 1999 .

[15]  F. A. Hartman,et al.  ERYTHROCYTE MEASUREMENTS IN FISHES AMPHIBIA, AND REPTILES , 1964 .