Hyperspectral microscopic imaging optimization method suitable for tumor diagnosis

Abstract

The invention discloses a hyperspectral microscopic imaging optimization method suitable for tumor diagnosis, and the method comprises the steps: classifying the features of an input image based on depth pixels, and outputting a classification result; performing preliminary optimization on the classification result by using a consistency initial registration strategy; and constructing an optimization model in combination with a multi-objective optimization strategy, performing optimization solution on the preliminary optimization result again, and setting an output final optimization value as a threshold value of an output image. According to the method, the key feature descriptors are obtained through a special feature classification processing means, the double optimization technology is combined, the accuracy of key information of image processing is guaranteed, on the basis that the key features are reserved, unnecessary complicated calculation is reduced, the imaging speed and accuracy are improved, and ideal help is provided for medical services.

Description

technical field [0001] The invention relates to the technical field of hyperspectral microscopic imaging and image optimization, in particular to a hyperspectral microscopic imaging optimization method suitable for tumor diagnosis. Background technique [0002] At present, in the diagnosis of tumors, especially malignant liver cancer, histopathological diagnosis is still the gold standard. Microscopic endoscopes, electronic endoscopes, ultrasonic endoscopes, etc. have appeared, although they can provide doctors with clearer images, It reduces the suffering of patients, but it is difficult to detect early lesions only through images, which makes early biopsy random. [0003] Spectral imaging technology is a combination of imaging technology and spectral technology, which can simultaneously image the same measured object in a wide continuous spectrum, while detecting the spatial characteristics of the object, each spatial pixel is dispersed into dozens of pixels. To image hun...

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Problems solved by technology

[0002] At present, histopathological diagnosis is still the gold standard in the diagnosis of tumors, especially malignant liver cancer. Reduces the pain of patients, but it is difficult to find early lesions only by images, which makes early biopsy random

[0003] Spectral imaging technology is a combination of imaging technology and spectral technology. It can simultaneously image the same measured object on a wide continuous spectrum. While detecting the spatial characteristics of the object, it also disperses each spatial pixel into dozens of Imaging in hundreds of bands to provide spatial domain information and spectral domain information, that is, "map-spectrum integration", this cutting-edge technology has been used in military reconnaissance, resource exploration, natural disaster monitoring, environmental pollution assessment and many other fields. Although the existing spectral imaging technology has been developed in the field of medical diagnosis and treatment, the effect is not ideal. The imaging results are relatively blurred and the operation is complicated, so it is difficult to provide good services for medical technology.

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