Abstract

In the two-dimension or three-dimension object recognition research, the shapes, the sizes, and the geometry of the objects are usually compared to recognize different objects. However, the quality of the lenses of the CCD cameras is different between manufacturing company. If the quality is poor, the mapping ranges in the camera lenses itself in the X and Y directions are not equal. The mapping range discrepancy will cause the distortion of the object image after the CCD camera takes the picture of the object. In order to get the correct geometry comparison of two images; the distorted images need to be restored to its original images. This paper invests the method to correct the distorted image to its original image. In this paper, the second moment is used to find the center point and the orientation of the object. the distortion correction coefficients are introduced to the second moment equations to find the actual center point and the orientation of the object. Image rotation and correction are introduced in this paper, too. The distortion correction coefficient work well to correct the distorted image. By using the correction coefficient, the image can be restored to its original image and the image rotation equations can rotate the image to its proper position.

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