Recognition of Protein in 2D Gel Electrophoresis Image Based on Template Method
Recognition of protein in 2D gel electrophoresis image is essential for the biological analysis. In this study we propose a new method for recognition of protein with a threshold-irrelevant template match method. First, an optimized gradient operator was applied to the origin image. Second, the threshold irrelevant template match method was applied to the gradient image to get the center of each object. The template value was generated with first derivative information of dot-like image model. The proposed approach was tested on actual 2D gel electrophoresis images. The result shows our proposed method has better detection accuracy in 2D electrophoresis image.
2D gel electrophoresis image Protein Recognition Template matching Threshold irrelevant method
Liu Junjie Nie Shengdong
Institute of Medical Imaging Engineering University of Shanghai for Science and Technology Shanghai, China
国际会议
2011 International Conference on Database and Data Mining(ICDDM 2011)(2011年数据库和数据挖掘国际会议)
三亚
英文
124-127
2011-03-25(万方平台首次上网日期,不代表论文的发表时间)