Connected domain identification method, device and system of anisotropic image and computer readable medium
A technology of anisotropy and identification method, applied in the field of image processing, can solve problems such as optimization of anisotropic images, poor identification of connected domains of anisotropic images, etc., and achieve the effect of improving accuracy and improving accuracy
Active Publication Date: 2020-07-24
浙江太美医疗科技股份有限公司
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Problems solved by technology
The currently used connected domain algorithm is based on the fact that the distribution of pixels in each direction is the same, that is, isotropic. It is not optimized for anisotropic images, so the connected domain recognition effect on anisotropic images is not good.
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[0027] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings that need to be used in the description of the embodiments. Obviously, the accompanying drawings in the following description are only some examples or embodiments of the present application, and those skilled in the art can also apply the present application to other similar scenarios. Unless otherwise apparent from context or otherwise indicated, like reference numerals in the figures represent like structures or operations.
[0028] As indicated in this application and claims, the terms "a", "an", "an" and / or "the" do not refer to the singular and may include the plural unless the context clearly indicates an exception. Generally speaking, the terms "comprising" and "comprising" only suggest the inclusion of clearly identified steps and elements, and these steps and elements do not constitute an exclusive list, and ...
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The invention provides a connected domain identification method, device and system of an anisotropic image and a computer readable medium. The method comprises the following steps: acquiring a to-be-identified anisotropic image; performing connected domain identification on the anisotropic image based on the color tolerance parameter and the spatial position range parameter, and presenting a connected domain result to a user; receiving a color tolerance parameter and a spatial position range parameter input by a user, and updating the color tolerance parameter and the spatial position range parameter; and performing connected domain identification on the anisotropic image based on the updated color tolerance parameter and the spatial position range parameter, and presenting a new connecteddomain result to the user. Through using the color tolerance parameter and the spatial position range parameter to carry out connected domain identification on the anisotropic image, identification accuracy can be greatly increased. The color tolerance parameter and the spatial position range parameter are adjusted by the user according to the primary connected domain identification result, so that the accuracy of the identification result is improved.
Description
technical field [0001] The present application mainly relates to the technical field of image processing, and in particular to a method, device, system and computer-readable medium for identifying connected domains of anisotropic images. Background technique [0002] Image recognition is usually based on spatially connected domains under a certain threshold brightness. The currently used connected domain algorithm is based on the fact that the distribution of pixels in each direction is the same, that is, isotropic. It is not optimized for anisotropic images, so the connected domain recognition effect on anisotropic images is not good. . How to improve the connected domain recognition effect of anisotropic images is an urgent problem to be solved by those skilled in the art. Contents of the invention [0003] The technical problem to be solved in this application is to provide a method, device, system and computer-readable medium for identifying connected domains of anis...
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Login to View More IPC IPC(8): G06K9/34G06K9/46
CPCG06V10/267G06V10/56
Inventor 蔡鑫潘伟凡
Owner 浙江太美医疗科技股份有限公司