A merging algorithm for images based on segmentation of feature regions
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A merging algorithm for images which are captured and need to be measured is proposed, which introduces the segmentation of feature regions into image merging. The edges of an image is detected by the gray Sobel operator with an attenuation factor. A gray edge image is obtained without distortion. Then the gray edge image can be processed using cubic spline interpolation. The location precision of feature regions is improved to subpixel. It improves the precision of edge detection and is beneficial to merging images with high precision. The experimental result shows that the algorithm is effective, simple and easy to use for images merging correctly. When the images have a biggish difference in graylevel and rotation, the algorithm can effectively overcome the influence in image quality and make merging images seamless and smooth.