Optical fiber bundle image processing method and system, computer equipment and storage medium

Abstract

The invention discloses an optical fiber bundle image processing method and system, computer equipment and a storage medium. The method comprises the following steps: constructing a reference image; determining an optical fiber bundle crosstalk matrix and a transmittance matrix function based on the reference image; constructing a target function; solving the to-be-processed optical fiber bundle sample image based on the target function, and reconstructing the to-be-processed optical fiber bundle sample image; and carrying out registration processing on the plurality of reconstructed optical fiber bundle sample images. The system comprises a first construction module, a mathematical model establishment module, a second construction module, a reconstruction module and a registration module.Computer equipment and a storage medium can realize the process of the method by executing a computer program. According to the invention, the honeycomb structure of the optical fiber bundle image can be removed by using a single image, and the influence of noise and crosstalk between optical fibers on optical fiber bundle imaging can be removed, so that the effect of improving the resolution ofoptical fiber bundle imaging is achieved. The method is wide in applicability, and is suitable for all application scenes employing the optical fiber bundle for imaging.

Description

technical field [0001] The invention relates to the field of image processing, in particular to the field of optical fiber bundle image processing, in particular to an optical fiber bundle image processing method, system, computer equipment and storage medium. Background technique [0002] Fiber optic bundles have played an important role in endoscopic imaging, providing cellular-level visualization for the diagnosis of a range of diseases in vivo. Typically, fiber optic bundles contain a large number of fiber cores (typically up to 30,000) that simultaneously transmit and acquire optical signals. However, the distance between the cores (i.e., the cladding) can cause a noticeable honeycomb pattern in the acquired image, degrading the image quality. In addition, crosstalk issues between fibers and noise will further affect the imaging resolution of the fiber bundle. [0003] At present, the commonly used method is to use Gaussian filtering or linear interpolation to remove ...

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Problems solved by technology

However, this approach may be too difficult for clinical application considering the miniaturization of the required scanning system and deformation of the tissue

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