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Adaptive coloring method, system, storage medium, terminal for infrared image

A technology of infrared image and dyeing method, which is applied in the field of image processing, can solve the problems of infrared images that cannot be perceived by human eyes, etc., and achieve good visual perception, good clustering effect, and accurate processing effect

Active Publication Date: 2019-01-04
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the prior art, to provide an adaptive dyeing method, system, storage medium and terminal for infrared images, especially suitable for The dyeing of the original infrared image with low thermal contrast solves the problem that the existing technology processes different infrared images in the same way and cannot obtain infrared images with better human perception

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  • Adaptive coloring method, system, storage medium, terminal for infrared image
  • Adaptive coloring method, system, storage medium, terminal for infrared image

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Embodiment 1

[0041] This embodiment provides an adaptive coloring method for infrared images, which is applied to the situation of coloring infrared imaging images, and is especially suitable for coloring original infrared images with low thermal contrast.

[0042] Specifically, such as figure 1 As shown, the described method comprises the following steps:

[0043] S1: Gray histogram statistics: Calculate the ratio of the number of pixels of each gray value of the infrared image to the total pixels;

[0044] Among them, since the gray distribution histogram of the infrared image can directly reflect the contrast and dynamic range of the image, the calculation of the ratio of the number of pixels of each gray value to the total pixels can be used for conditional judgment be ready.

[0045] S2: Condition judgment and selection: judge whether the number of pixels distributed on the number of gray levels higher than X% accounts for less than Y% of the total number of pixels in the entire inf...

Embodiment 2

[0070] This embodiment provides an adaptive coloring method for infrared images. Similar to Embodiment 1, this method is applied to the situation of coloring infrared imaging images, and is especially suitable for coloring original infrared images with low thermal contrast.

[0071] Among them, such as figure 2 As shown, the method of this embodiment and embodiment 1 comprises following identical steps:

[0072] Gray histogram statistics: Calculate the ratio of the number of pixels of each gray value of the infrared image to the total pixels;

[0073] Condition judgment and selection: judge whether the number of pixels distributed on the number of gray scales higher than X% accounts for less than Y% of the total number of pixels in the entire infrared image, if so, enter K-means clustering, otherwise enter Mean-Shift clustering;

[0074] K-means clustering: clustering after manually specifying the number of clusters, that is, the K value;

[0075] Mean-Shift clustering: au...

Embodiment 3

[0086] This embodiment provides an adaptive coloring system for infrared images, and the concept of the invention is similar to that of Embodiment 1. Specifically, this system includes:

[0087] Gray histogram statistical module: used to calculate the ratio of the number of pixels of each gray value of the infrared image to the total pixels;

[0088] Condition judgment and selection module: used to judge whether the number of pixels distributed on the number of gray scales higher than X% accounts for less than Y% of the total number of pixels in the entire infrared image, if so, enter K-means clustering, otherwise enter Mean-Shift clustering;

[0089] K-means clustering module: used to manually specify the number of clusters, that is, the K value, for clustering;

[0090] Mean-Shift clustering module: used for automatic clustering;

[0091] Rainbow code pseudo-color discrete transformation module: used to use the number of clusters completed by K-means clustering or Mean-Sh...

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Abstract

The invention discloses an adaptive dyeing method for an infrared image, a system, a storage medium and a terminal. The method comprises the following steps: gray histogram statistics: calculating theproportion of pixel points of each gray value of the infrared image to the total pixel points; condition Judgment and Selection: judging whether the number of pixel points distributed on the number of gray scale above X% accounts for less than Y% of the total pixel points of the whole infrared picture, if so, entering K-Means clustering; Pseudocolor Discrete Transform of Rainbow Codes: the numberof clusters completed by K-Means clustering or Mean-Shift clustering is used as discrete color segments to divide the rainbow color from red to blue into several segments, and the center color of each segment is used for pseudo-color mapping. The invention adopts different clustering methods for images of different qualities and adopts interval adaptive rainbow code pseudocolor transformation, which has good effect on infrared pictures with low thermal contrast which need to obviously distinguish layers.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an adaptive coloring method, system, storage medium and terminal for infrared images. Background technique [0002] As a new technology for people to observe and perceive the objective world, infrared imaging technology has the characteristics of good environmental adaptability, good concealment, and high recognition of camouflaged targets. In addition, the infrared image has the characteristics of temperature representation, and after a certain dyeing transformation, the temperature distribution information of the target can be felt. However, limited by the difficulty of making infrared detectors and the influence of material purity, infrared images generally have low resolution, high noise, low image contrast, and narrow gray scale range, resulting in blurred contrast between the background and the monitored target. , the details of the monitored target are difficult ...

Claims

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Application Information

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IPC IPC(8): G06T11/40G06T5/00G06T7/90G06K9/62
CPCG06T7/90G06T11/40G06T2207/10048G06F18/23211G06F18/23213G06T5/75
Inventor 代志勇卢靖
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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