Automatic Lane Extraction in Hemoglobin and Serum Protein Electrophoresis Using Image Processing

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.