A no-reference objective image sharpness metric based on the notion of just noticeable blur (JNB)
IEEE Transactions on Image Processing
Optimization of mutual information for multiresolution image registration
IEEE Transactions on Image Processing
No-reference quality assessment using natural scene statistics: JPEG2000
IEEE Transactions on Image Processing
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Micro-structures of surface are considered to be effective in identifying the damage mechanisms. The industry uses computer vision to auto detect misalignment of the components as it is a contactless tool. However, in scientific investigations micro structures obtained online at high-speed has to be analyzed. In this work the change detection of a specimen rotating at a high speed studied online using image processing techniques in micro graphs which provides a clear insight about the dimensional changes. The specimen under study is made from polymer composite which has contact with a steel wheel and rotates at a high speed. The blur as a measure of dimensional change of the polymer composite can be identified due to the change in focus. The micro-structure images were dark and span a very small region of the surface due to high speed image acquisition, short shutter time and magnification of the microscope. Thus, pre-processing procedures like image enhancement, stitching and registration are performed. Then 15 blur estimation methods are applied to the stitched images. The results of three methods present a good correlation with dimensional change provided by a stylus instrument.