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A mosaic method for medical images

A medical image and image technology, which is applied in graphics and image conversion, image data processing, instruments, etc., can solve the problems of too many blank areas, low universality, wrong spelling of image seam settings, etc., and achieve strong universality , strong applicability, high robustness and robustness

Active Publication Date: 2019-01-04
曲阜裕隆生物科技有限公司
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  • Description
  • Claims
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Problems solved by technology

Due to the particularity of medical images, such as high regional similarity, too many blank areas, etc., ordinary image stitching methods will cause image patchwork settings to be misspelled, and the universality is not high.

Method used

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  • A mosaic method for medical images
  • A mosaic method for medical images
  • A mosaic method for medical images

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Embodiment Construction

[0034] The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. The following embodiments are explanations of the present invention, but the present invention is not limited to the following embodiments.

[0035] Such as figure 1 As shown, the splicing method for medical images provided by the present invention includes the following steps:

[0036] Step 1: Image preprocessing. Before splicing, the image to be spliced ​​A and the image to be spliced ​​B should be preprocessed first to obtain a better splicing effect.

[0037] Image preprocessing includes image correction and noise suppression. The captured pictures are generally distorted, and the image correction makes the image to be stitched as close as possible to the real image. Image noise can be understood as various reasons that hinder people's visual perception, or hinder the system sensor from understanding or analyzing the received image source ...

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Abstract

The present invention discloses a splicing method used for a medical image. The splicing method used for the medical image comprises the steps of (1) pre-processing a to-be-spliced image; (2) carrying out the feature extraction on the pre-processed image, namely, extracting the point, line and area features of which the grays change obviously from the image to form a feature set; (3) carrying out the feature matching on the image after the feature extraction to obtain a spliced image; (4) determining whether the image is spliced successfully; (5) carrying out the boundary smoothing processing on the successfully spliced image to obtain a final spliced image. The splicing method used for the medical image of the present invention can effectively solve the splicing problems caused by that the region similarity is high, the blank areas are many, etc., has higher robustness, and is more reliable in splicing result, high in success rate and strong in universality.

Description

technical field [0001] The invention relates to the field of image splicing, in particular to a splicing method for medical images. Background technique [0002] Image stitching is a common processing method in image processing, and it is also one of the research hotspots. The problem solved by image stitching is generally: by aligning a series of spatially overlapping images, a seamless and clear image is formed, which has higher resolution and larger field of view than a single image. In medical images, especially digital pathological slices, due to the small field of view of microscopic imaging, stitching is often required. The most commonly used stitching algorithm at this stage is the region-based stitching algorithm. Due to the particularity of medical images, such as high regional similarity, too many blank areas, etc., common image stitching methods will cause image patchwork settings to be misspelled, and the universality is not high. Contents of the invention ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/00
CPCG06T3/0068
Inventor 李盛穆海东汪宁梅裴姣姣
Owner 曲阜裕隆生物科技有限公司
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