System and method for image processing
AssigneeShanghai United Imaging Healthcare Co., Ltd.
InventorsChunhua Jiang, Shurui Zhao, Hanyu Wang, Haihua Zhou
Life of this patent
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Abstract
A system and method for image processing are provided. A pre-processed image may be obtained. The pre-processed image may be decomposed into a low-frequency image and a high-frequency image. At least one grayscale transformation range may be determined based on the low-frequency image. At least one grayscale transformation parameter may be determined based on the at least one grayscale transformation range. The low-frequency image may be transformed based on the at least one grayscale transformation parameter to obtain a transformed low-frequency image. A transformed image may be generated by reconstructing the transformed low-frequency image and the high-frequency image.
Claims19
A system, comprising:
- at least one storage device including a set of instructions or programs;
- and at least one processor configured to communicate with the at least one storage device, wherein when executing the set of instructions or programs, the at least one processor is configured to cause the system to:
- obtain a pre-processed image;
- decompose the pre-processed image into a low-frequency image and a high-frequency image;
- determine at least one grayscale transformation range based on the low-frequency image;
- determine at least one grayscale transformation parameter based on the at least one grayscale transformation range;
- transform, based on the at least one grayscale transformation parameter,
- the low-frequency image to obtain a transformed low-frequency image;
- and generate a transformed image by reconstructing the transformed low-frequency image and the high-frequency image;
- wherein determining at least one grayscale transformation range based on the low-frequency image comprises:
- determining the at least one grayscale transformation range based on the pre-processed image, a first grayscale distribution characteristic of gland in the low-frequency image, and a second grayscale distribution characteristic of fat in the low-frequency image.
A method implemented on at least one device each of which has at least one processor and a storage for image processing, the method comprising:
- obtaining a pre-processed image;
- decomposing the pre-processed image into a low-frequency image and a high-frequency image;
- determining at least one grayscale transformation range based on the low-frequency image;
- determining at least one grayscale transformation parameter based on the at least one grayscale transformation range;
- transforming, based on the at least one grayscale transformation parameter, the low-frequency image to obtain a transformed low-frequency image;
- and generating a transformed image by reconstructing the transformed low-frequency image and the high-frequency image;
- wherein determining at least one grayscale transformation range based on the low-frequency image comprises:
- determining the at least one grayscale transformation range based on the pre-processed image, a first grayscale distribution characteristic of gland in the low-frequency image, and a second grayscale distribution characteristic of fat in the low-frequency image.
A non-transitory computer readable medium embodying a computer program product, the computer program product comprising instructions configured to cause a computing device to:
- obtain a pre-processed image;
- decompose the pre-processed image into a low-frequency image and a high-frequency image;
- determine at least one grayscale transformation range based on the low-frequency image;
- determine at least one grayscale transformation parameter based on the at least one grayscale transformation range;
- transform, based on the at least one grayscale transformation parameter, the low-frequency image to obtain a transformed loud-frequency image;
- and generate a transformed image by reconstructing the transformed low-frequency image and the high-frequency image;
- wherein determining at least one grayscale transformation range based on the low-frequency image comprises:
- determining the at least one grayscale transformation range based on the pre-processed image, a first grayscale distribution characteristic of gland in the low-frequency image, and a second grayscale distribution characteristic of fat in the low-frequency image.
Dependencies are inferred from the claim text.