Method for rectifying the daltonism on the basis of self-adapted mapping

A red-green color blindness, adaptive technology, applied in the field of image processing and visual restoration, can solve the problems of inability to distinguish red and green, color confusion, etc.

Inactive Publication Date: 2007-09-19
FUDAN UNIV
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Problems solved by technology

From the red-blind simplified model formula (4) given above, it can be seen that the color in the RGB cube space is mapped to the R=G plane along the L-axis direction, so that the color in the L-axis direction is mapped to the same point Therefore, the colors in this direction must be confused, for example, red and green are in this direction, so protanopia cannot distinguish red from green

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  • Method for rectifying the daltonism on the basis of self-adapted mapping
  • Method for rectifying the daltonism on the basis of self-adapted mapping
  • Method for rectifying the daltonism on the basis of self-adapted mapping

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Embodiment Construction

[0031] The following takes protanopia as an example to introduce the whole image correction process, and finally shows the results of protanopia observing the original image and transformed image in the form of images.

[0032] 1. Simulate the vision of protanopia patients

[0033] Select 3 protanopia test images (original images) as correction objects, according to the protanopia simplified model (4) or simulate the results obtained by protanopia patients looking at the original images, as shown in Fig. 4 and Fig. 6. The original image and the protanopia image were compared and analyzed.

[0034] 2. Correct the original image

[0035] The original image is processed step by step according to the method described in the manual, where l is taken as 16 steps, then a mapping relationship table is established, and its color is corrected according to the mapping table. The converted images shown in Figures 4-6 are images corrected from the original images, and the transformed ima...

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Abstract

The invention belongs to the technical field of image process and the vision resume, specifically a Daltonism antidote based on the adaptive mapping. The method firstly builds a Daltonism simulation model, then makes the analysis process on the original image, to divide the project area according to the obtained number of color and the color distribution, finally builds the one-to-one mapping relation from the normal color space to the color blindness color surface according to the size of the color frequence and the projecting, and rectifies the original image according to mapping relation. The aim of the invention is to advance the ability of distinguishing the color for the Daltonism antidote, to make the information not displayed in the original image clearly display in the rectified image and the image process is carried through outside the eye, which does not damage the eyes, thereby having stronger feasibility about the cure and the rectification for the Daltonism.

Description

technical field [0001] The invention belongs to the technical field of image processing and visual restoration, and in particular relates to a red-green color blindness correction method based on adaptive mapping. technical background [0002] Color blindness and color weakness are visual diseases that endanger human health. It has a negative impact on patients' daily life. Many industries restrict the entry of color blind patients. Physiological and medical studies are the most widely used in the research on color blindness and achromatopsia, but no effective method for better treatment of this visual disease has been proposed all the time. According to statistics, about 8% of men and 0.5% of women suffer from color blindness or color weakness. The cause of most color blindness and color weakness is that the photosensitive cone cells on the retina that transmit color information are abnormal or incomplete, resulting in the lack of ability to distinguish one or several colo...

Claims

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Application Information

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IPC IPC(8): A61F9/00
Inventor 汪源源鲍吉斌马煜邓寅晖顾晓东
Owner FUDAN UNIV
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