Acoustic image texture feature extraction method based on multi-scale blurring
An image texture and feature extraction technology, which is applied in the computer field, can solve the problems of blurred edges of image content, poor precision and recall of ultrasonic image classification, and low resolution of ultrasonic images, so as to improve accuracy, reduce training time, The effect of accurate classification
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[0051] The present invention will be further described below in conjunction with the drawings.
[0052] Combine figure 1 The present invention discloses an acoustic image texture feature extraction method based on multi-scale blur, which includes image preprocessing, image feature value extraction and classifier classification, and specifically includes the following steps:
[0053] (1) Find and select the region of interest ROI of the image;
[0054] (2) Perform adaptive median filter processing on the image to minimize the speckle noise of the image and maintain the robustness to impulse noise and the edge characteristics of the image;
[0055] (3) Perform morphological transformation on the processed image, including dilation and erosion operations on the image, further remove speckle noise and soften the image;
[0056] (4) Use histogram equalization to improve the contrast of the image, and convert one image into another balanced histogram so that it has the same number of pixels ...
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