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Volumn , Issue , 2013, Pages 357-370

Analysis of blood smear and detection of white blood cell types using harris corner

Author keywords

[No Author keywords available]

Indexed keywords

CELLS; CYTOLOGY; DIAGNOSIS; EDGE DETECTION; MEDICAL INFORMATION SYSTEMS;

EID: 84937463644     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-4666-4558-5.ch017     Document Type: Chapter
Times cited : (6)

References (24)
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    • Bezdek, J.C.1
  • 5
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    • The harris corner detector
    • Derpanis, K. G. (2004). The harris corner detector.Retrieved from http://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0CC0QFjAA&url=http%3A%2F%2Fwindage.googlecode.com%2Fsvn%2Ftrunk%2FMindmap%2FTracking%2FPapers%2F%255B2004%255D%2520The%2520Harris%2520Corner%2520Detector.pdf&ei=gSXTUYXxBszc4APp64DQDA&usg=AFQjCNGlKM3AVlhJGehehVhWNfbwDDaOeg&sig2=xUs4oAo0UCCQlD97Gvf86Q&bvm=bv.48705608,d.dmg.
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    • Derpanis, K.G.1
  • 6
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    • A session based watermarking technique within the NROI of retinal fundus images for authentication using DWT, spread spectrum and harris corner detection
    • Dey, N., Pal, M., & Das, A. (2012). A session based watermarking technique within the NROI of retinal fundus images for authentication using DWT, spread spectrum and harris corner detection. International Journal of Modern Engineering Research, 2(3), 749-757.
    • (2012) International Journal of Modern Engineering Research , vol.2 , Issue.3 , pp. 749-757
    • Dey, N.1    Pal, M.2    Das, A.3
  • 10
    • 0015644825 scopus 로고
    • A fuzzy relative of the ISODATA process and its use in detecting compact well separated clusters
    • Dunn, J. C. (1973). A fuzzy relative of the ISODATA process and its use in detecting compact well separated clusters. Journal of Cybernetics, 3, 32-57. doi:10.1080/01969727308546046.
    • (1973) Journal of Cybernetics , vol.3 , pp. 32-57
    • Dunn, J.C.1
  • 12
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    • Segmentation of stained blood cell images measured at high scanning density with high magnification and high numerical aperture optics
    • PMID:2430764
    • Harms, H., Aus, H., Haucke, M., & Gunzer, U. (1986). Segmentation of stained blood cell images measured at high scanning density with high magnification and high numerical aperture optics. Cytometry, 7, 522-531. doi:10.1002/cyto.990070605 PMID:2430764.
    • (1986) Cytometry , vol.7 , pp. 522-531
    • Harms, H.1    Aus, H.2    Haucke, M.3    Gunzer, U.4
  • 14
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    • Red blood cells classification using image processing.
    • Jambhekar, N. D. (2011). Red blood cells classification using image processing. Science Research Reporter, 1(3).
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    • Multi-resolution- based watersheds for efficient image segmentation
    • Kim, J. B., & Kim, H. J. (2003). Multi-resolution- based watersheds for efficient image segmentation. Pattern Recognition Letters, 24, 473-488. doi:10.1016/S0167-8655(02)00270-2.
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    • Kim, J.B.1    Kim, H.J.2
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    • Red blood cell count
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    • White blood cell
    • Wikipedia. (2013b). White blood cell. Retrieved from http://en.wikipedia.org/wiki/White_blood_ cell.
    • (2013)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.