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In the power system, there is a very important role in the protection of the safe operation of the power system by using computer vision and image processing technology to detect the cracked Insulator. Aiming at the problem of the cracked insulator because of self leads to the shedding of glass insulator, this paper presents a detection algorithm of cracked insulator based on Statistical Shape Models(SSMs). The algorithm firstly preprocesses the input image. Secondly, we extract the interest target region which should contain insulator information. Then GLOH descriptor is used to accurately locate the insulator, and then the SSMs are used to accurately segment the insulator with their advantages in the image segmentation; Finally, that the insulator is cracked or not is determined by analyzing the positions of the separated insulators. The experimental results show that the algorithm can accurately locate the cracked insulator.