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Main goal of this paper is to address various challenges towards clinical ophthalmology in the context of automatic boundary extraction in continuous curvilinear capsulorhexis of cataract surgery via structure detection model. A novel extraction scheme with high computational efficiency and robustness is proposed to extract the boundary information. Firstly, pre-processing procedure is applied that includes general histogram equalization and contrast limited adaptive histogram equalization was utilized to enhance the contrast of the surgery images. Then, a proposed structure detection model is established to detect the tiny boundary with low contrast. After that, local threshold and post process are applied to remove disturbance. Finally, the proposed method has been verified through the data sets. Experimental results show that the proposed method could extract the boundary of capsulorhexis and gets the result of F-measure=0.915，which outperform other schemes，and achieve high computational ability and accuracy.