A Method of Image Sharpness Measurement Using Multi-scale Morphological Features
A technology of morphological characteristics and image clarity, which is applied in image analysis, image data processing, instruments, etc., can solve the problems that the change of image clarity is not sensitive enough, can not be used well, and achieve broad market prospects and application value, The effect of good sharpness resolution
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[0026] In order to better understand the technical solutions of the present invention, the implementation manners of the present invention will be further described below in conjunction with the accompanying drawings. The principle block diagram of the present invention is as figure 1 Shown, the specific implementation details of the present invention are as follows:
[0027] Step 1: Extract multi-scale bright and dark features
[0028] A clear image usually includes a large number of important image detail features, which means that the useful features contained in the image are important and available information to measure the image sharpness. The top-hat transform is an important mathematical tool for extracting image features, which can effectively extract useful features in images, especially detail features. Therefore, based on the top-hat transformation, image features can be effectively extracted for the construction of image clarity.
[0029] The top-hat transform...
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