X-ray, ultrasonic and infrared image fusion-based breast mass image detection method
An image fusion and image detection technology, applied in the field of image processing, can solve problems such as single source of breast image information, inability to conveniently view breast images, and insufficient image information richness, to achieve accurate diagnostic information, good denoising effect, and reliability and the effect of increased effectiveness
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Embodiment 1
[0027] In recent years, with the development of science and technology, the diagnostic techniques and treatment methods of breast cancer have been greatly improved. In terms of diagnostic techniques, the more common methods mainly include mammography soft x-ray examination, ultrasound imaging examination, thermal image examination, near-infrared scanning examination, CT examination, tumor marker examination and biopsy and other methods; in terms of treatment methods , has changed from the previous surgical treatment-based method to comprehensive treatment-based methods, such as endocrine therapy, CSRT treatment, cell therapy, gene therapy, etc. Although people have made outstanding progress in the treatment of breast cancer, they can only achieve good results in the early treatment of cancer, because most advanced cancers have metastasized to distant places, no matter what modern treatment measures are used, Curative effect is still unsatisfactory. Early detection and diagnos...
Embodiment 2
[0038] The mammary gland mass image detection method based on X-ray, ultrasound, infrared three types of image fusion is the same as embodiment 1, wherein step (1) obtains X-ray, ultrasound, infrared three types of fusion images, see figure 2 , including the following steps:
[0039] (1a) Decompose the mammography image and the ultrasound image by wavelet respectively to obtain the low-frequency coefficients and high-frequency coefficients of the mammography image and the ultrasound image respectively. Fusion, and then fuse the high-frequency coefficients of the two images after wavelet decomposition according to the high-frequency coefficient fusion rules to obtain the low-frequency coefficients and high-frequency coefficients after the fusion of the X-ray image and the ultrasonic image.
[0040] (1b) Carry out wavelet transformation to the infrared breast image to obtain its low-frequency coefficient and high-frequency coefficient. First, the low-frequency coefficient of th...
Embodiment 3
[0043] The mammary gland mass image detection method based on X-ray, ultrasonic, infrared image fusion of three types is the same as embodiment 1-2, wherein step (3) adopts grid coverage method to segment the mammary gland area in the three types of fusion images, including: Follow the steps below:
[0044] (3a) For the three types of fusion images after denoising, obtain the gray histogram of the breast image after denoising. The gray value of the breast image is mostly concentrated in 50-255, and the gray value less than 50 is mostly zero or close to At zero, that is, the background area, therefore, a threshold of 50 is used to binarize the image.
[0045] (3b) Use the grid covering method to segment the breast area in the three types of fused images, starting from the upper left corner of the binarized breast image area, from left to right, and from top to bottom, covering with a square area of 128×128 pixels In addition, every two coverage areas need to overlap with an ...
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