AUTOMATIC LANE EXTRACTION IN HEMOGLOBIN AND SERUM PROTEIN ELECTROPHORESIS USING IMAGE PROCESSING

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KHODABAKHSHI SAMIRA; HASSANPOUR HAMID

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Journal Paper

Paper Information

Journal: JOURNAL OF ADVANCES IN COMPUTER RESEARCH Year:2012 | Volume:3 | Issue:4 Page(s): 25-31

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Information Journal Paper

Title

AUTOMATIC LANE EXTRACTION IN HEMOGLOBIN AND SERUM PROTEIN ELECTROPHORESIS USING IMAGE PROCESSING

Author(s)

KHODABAKHSHI SAMIRA | HASSANPOUR HAMID | Issue Writer Certificate

Keywords

ELECTROPHORESIS

LANE EXTRACTION

OTSU

SAVITZKY-GOLAY

Abstract

Image analysis is an image processing technique that aims to extract features or information from images. Image analysis in medicine has a special place because is a basis for disease diagnosis for physicians. ELECTROPHORESIS is a laboratory separating technique. ELECTROPHORESIS images are created during the ELECTROPHORESIS process. Serum protein and hemoglobin ELECTROPHORESIS test are the most common test in Laboratory. Each lane represents a patient's blood sample. LANE EXTRACTION is one of the most important steps in analyzing of ELECTROPHORESIS images. This paper, proposed automatic LANE EXTRACTION method based on OTSU thresholding and SAVITZKY-GOLAY smoothing. The results show the proposed method has 98% accurate.

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APA: Copy

KHODABAKHSHI, SAMIRA, & HASSANPOUR, HAMID. (2012). AUTOMATIC LANE EXTRACTION IN HEMOGLOBIN AND SERUM PROTEIN ELECTROPHORESIS USING IMAGE PROCESSING. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, 3(4), 25-31. SID. https://sid.ir/paper/328714/en

Vancouver: Copy

KHODABAKHSHI SAMIRA, HASSANPOUR HAMID. AUTOMATIC LANE EXTRACTION IN HEMOGLOBIN AND SERUM PROTEIN ELECTROPHORESIS USING IMAGE PROCESSING. JOURNAL OF ADVANCES IN COMPUTER RESEARCH[Internet]. 2012;3(4):25-31. Available from: https://sid.ir/paper/328714/en

IEEE: Copy

SAMIRA KHODABAKHSHI, and HAMID HASSANPOUR, “AUTOMATIC LANE EXTRACTION IN HEMOGLOBIN AND SERUM PROTEIN ELECTROPHORESIS USING IMAGE PROCESSING,” JOURNAL OF ADVANCES IN COMPUTER RESEARCH, vol. 3, no. 4, pp. 25–31, 2012, [Online]. Available: https://sid.ir/paper/328714/en

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