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

Active Publication Date: 2018-11-23
HARBIN ENG UNIV
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Problems solved by technology

[0004] However, in general, ultrasound images are of low resolution and the edges of the image content are blurred
Therefore, how to extract the best features for describing ultrasound images is a huge challenge, and they will highly affect the accuracy and training time of classification results in machine learning
[0005] Currently exist

Method used

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  • Acoustic image texture feature extraction method based on multi-scale blurring
  • Acoustic image texture feature extraction method based on multi-scale blurring
  • Acoustic image texture feature extraction method based on multi-scale blurring

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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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Abstract

The invention discloses an acoustic image texture feature extraction method based on multi-scale blurring, and belongs to the technical field of a computer. The acoustic image texture feature extraction method comprises image preprocessing, image eigenvalue extraction and classifier classification and comprises the main implementation steps of: searching and selecting a ROI (Region Of Interest) ofan image; carrying out adaptive median filtering processing on the image so as to minimize speckle noise of the image and keep robustness for impulse noise and edge characteristics of the image; carrying out expansion and corrosion operations on the image so as to further remove the speckle noise and soften the image; improving a contrast ratio of the image by utilizing histogram equalization, sothat the image has the same pixel number at each gray level; carrying out a LBP (Local Binary Pattern) blurring operation on the image to obtain a FLBP map corresponding to the ROI; extracting different scales of features by adopting DT-CWT (Dual Tree Complex Wavelet Transform); and selecting a RF (Random Forest) as a classifier, and dividing contents in the ultrasonic image into positive examples and counterexamples. The acoustic image texture feature extraction method can efficiently and accurately classify the ultrasonic image and has wide development prospect.

Description

technical field [0001] The invention belongs to the field of computer technology, and in particular relates to a multi-scale fuzzy-based acoustic image texture feature extraction method combining computer technology, image processing, artificial intelligence (AI) and data mining. Background technique [0002] Ultrasonic images reflect the differences in acoustic parameters in the medium, and can obtain information different from optics, X-rays, and y-rays. Ultrasound has a good ability to distinguish soft tissues of the human body, and can obtain useful signals with a dynamic range of up to 120dB, which is conducive to identifying small lesions in biological tissues. Ultrasound images can obtain the desired images without dyeing when displaying living tissues. [0003] Ultrasound imaging is to use ultrasonic beams to scan the human body, and obtain images of internal organs by receiving and processing reflected signals. There are many kinds of ultrasonic instruments common...

Claims

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Application Information

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IPC IPC(8): G06K9/32G06K9/40G06K9/44G06K9/46G06K9/62
CPCG06V10/34G06V10/30G06V10/467G06V10/50G06V10/25G06V10/40G06F18/2411
Inventor 孙建国袁野吴舰宇刘铎杨旸李守政钟琦刘加贝
Owner HARBIN ENG UNIV
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