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The key point to clearing out overhead crane’s swaying is the accurate measurement of the angle. The thesis introduces vision technique into the anti-swaying control over the crane. The adaptive image enhancement method based on local gradient and standard deviation is proposed to solve the problem of acquiring the rope’s swaying position under different backlight conditions. It extracts the image features effectively. Meanwhile,twice down-sampling algorithm combined with gradient algorithm is introduced in this paper to identify the goal and its location; and it satisfies the real-time performance. Then,we use the geometric method to guarantee the measuring accuracy of the angle. The performance of the proposed method is verified by the experimental results.