Gray level correcting method and device in multiple microscopic image splicing
A technology for microscopic image and grayscale correction, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of no grayscale discontinuity, limited effect, error accumulation and propagation, etc., to reduce error accumulation and transmission. , Robust grayscale correction results, and the effect of texture feature elimination
Inactive Publication Date: 2018-04-24
INST OF AUTOMATION CHINESE ACAD OF SCI
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[0005] In general, in the process of electron microscope image acquisition and stitching, due to the influence of various factors, the stitched images may have a variety of gray-scale discontinuities, including gray-scale block inconsistencies between stitched images and the gray level discontinuity of the edge stitching area of the local image, etc., there is currently no complete method for the gray level discontinuity problem in image stitching, and the existing technology is aimed at the gray level correction of multiple images, which has limited effects and accumulated errors. and propagation problems, it cannot achieve the effect of consistent overall gray scale and continuous local gray scale of the entire spliced image
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[0063] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention, and are not intended to limit the protection scope of the present invention.
[0064] Registration and grayscale correction are required when stitching multiple microscopic images. Registration refers to the process of synthesizing multiple partially overlapping images collected by imaging equipment into a large-format high-resolution image, which can effectively overcome the limitations of ordinary imaging equipment in the field of view and obtain higher accuracy than a single image. resolution and a larger field of view. First, the template matching method is used to calculate the relative position between adjacent images, and then the absolute coordinates of all images in the reference coordinate space are calculated ...
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The invention relates to a field of image splicing and specifically relates to a gray level correcting method and device in multiple microscopic image splicing, and aims to solve a problem of gray level incontinuity in image splicing. According to the invention, a seed image is selected from images subjected to registration; a gain compensation method is adopted for rough adjustment on images anda histogram normalization method is adopted for fine adjustment according to the position information and the gray level information of the seed image so as to achieve gray level consistence among images; a Poisson image editing method is adopted for image fusion and splicing traces are eliminated. According to the invention, the seed image is taken as the start point of gray level correction, sothat error accumulation and transmission of a traditional method are reduced. The correction effect is improved step by step from the integral part to local parts; the robustness of the gray level correcting result is good, so that the quality of the gray level correcting result of section microscopic images is ensured.
Description
technical field [0001] The invention relates to the field of image splicing, in particular to a gray scale correction method and device in multiple microscopic image splicing. Background technique [0002] In recent years, with the development of electron microscopy imaging technology and the improvement of computing performance, large-field and high-resolution panoramic images obtained through microscopic image registration and mosaic have been widely used [1][2]. However, in the process of electron microscope image acquisition and stitching, due to the influence of magnetic field environment changes, parameter drift, registration errors, stitching seams and other factors, the stitched images have a variety of grayscale discontinuities, including stitching The inconsistency of the gray block between images and the gray discontinuity of the spliced area at the edge of the local image, etc. These grayscale discontinuities affect the visual effect and increase the difficult...
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IPC IPC(8): G06T3/40G06T5/00
CPCG06T3/4038G06T2207/10061G06T5/80
Inventor 陈曦周芳旭韩华沈丽君
Owner INST OF AUTOMATION CHINESE ACAD OF SCI