A Multi-Hierarchical Manifold Learning Method for Color Perception of Medical Images
A medical image and manifold learning technology, applied in the field of image processing, can solve problems such as unobvious regional structure, color mismatch, low efficiency, etc., and achieve the effect of obvious image regional structure, less manual participation, and bright colors
Active Publication Date: 2019-09-10
CHONGQING UNIV OF POSTS & TELECOMM
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[0004] The main purpose of the present invention is to provide a multi-level manifold learning method for color perception of medical images to solve the problems of low efficiency, unclear regional structure and color mismatch in the prior art
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[0036] A multi-level manifold learning method for color perception of medical images proposed by the present invention is based on improving the efficiency of color perception, highlighting the structure of image regions, and solving problems such as color mismatch. By comparing the similarity between all the pixels at the bottom layer, select the most representative pixel of the region as the representative point to establish a multi-level structure; use the manifold learning method to reduce the dimensionality of the representative points and maintain the geometric structure between the representative points as much as possible ;Return the representative points through interpolation to obtain the 3D coordinates of all pixel points; Finally, use the color transfer method to complete the color perception of the image so that similar pixels have similar colors in perception. The usual process of color transfer is to provide color clues to some pixels, and the remaining pixels pe...
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The invention discloses a multi-level manifold learning medical image color perceiving method in order to solve the problems in the prior art that a great amount of computation is required and that colors are not matched well. The method comprises the following steps: according to a black and white medical image, obtaining the gradient feature images in multiple directions; based on the similarities among all the pixels in the bottom layer, selecting the representative points from each region, establishing a hierarchical structure from bottom to top and the transmitting similarities among the representative points at multiple levels; using the manifold learning method to reduce the dimensions of the representative points at the top layer and maintaining the geometrical structures among the representative points as much as possible to obtain the three-dimensional coordinates of high-dimensional representative pixels; interpolating the three-dimensional coordinates of the representative points, and returning to obtain the three-dimensional coordinates of all the pixels; and according to the pixel color information of a given part, transmitting the color information and obtaining the color perception of all the pixels. The technical scheme of the invention realizes the color perception of a medical image quickly, highlights the image area structure and avoids the problem of color mismatch.
Description
technical field [0001] The invention relates to the field of image processing, in particular to a multi-level manifold learning method for color perception of medical images. Background technique [0002] Most of the existing medical imaging data are presented in grayscale images. Even the existing color medical images require patients to pay a high economic price. However, the sensitivity of the human eye to color changes is much higher than that of grayscale changes, and pure black and white images lack the expressiveness of the picture due to the loss of color information. Compared with grayscale images, color images have stronger expressive power and more vivid visualization effects. If relying on high-speed computing of the computer, the color perception of gray-scale medical images can not only improve the visual effect of medical images, improve the resolution ability, but also highlight the characteristics of medical images and show hidden lesions. Can provide mor...
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IPC IPC(8): G06T7/90
Inventor 曾宪华何姗姗
Owner CHONGQING UNIV OF POSTS & TELECOMM