Edge detection analysis for gastric tumor pathologic cell images by mathematical morphology is introduced here. The main purpose of the research is to lay a foundation of analysis and recognition for cellular morphology by the watershed segmentation and the information fusion of the images. In the paper

gray-scale edge detection methods of morphologic principle for the cell images are brought forward

whose experimental results are achieved. By comparing with the traditional edge detection methods

it is proved the advantages of the edge detection of mathematical morphology for the research of gastric tumor pathologic cell images. Combining with the texture features of investigated image

the paper has discussed the effect to the image edge detection with various configuration elements and gray-scale threshold values.