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Infrared-thermometer self-adaption three platform histogram equalization system and method thereof

A technology of histogram equalization and histogram statistics, which is applied in radiation pyrometry, instruments, image enhancement, etc., can solve the problems of large background noise and low contrast in high and low temperature areas, so as to suppress background noise, occupy less hardware resources, Good real-time effect

Inactive Publication Date: 2013-10-16
NANJING UNIV OF SCI & TECH
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Problems solved by technology

[0004] The purpose of the present invention is to provide an infrared thermometer self-adaptive three-platform histogram equalization system and its method, which is simple to implement, consumes less resources, and has a fast processing speed, which can effectively solve the problem of low contrast and background noise in the high and low temperature areas of infrared images big problem

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  • Infrared-thermometer self-adaption three platform histogram equalization system and method thereof
  • Infrared-thermometer self-adaption three platform histogram equalization system and method thereof
  • Infrared-thermometer self-adaption three platform histogram equalization system and method thereof

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Embodiment

[0028] Assume that the size of the accessed image is 320×256, the image data before equalization is 14 bits, and the image data after equalization is 8 bits as an example. Specific steps are as follows:

[0029] Step 1: Histogram statistics. Count how many pixels each gray level of the current frame image occupies, denoted as a function P(k), k represents the gray level of the image.

[0030] Step 2: Three-stage adaptive image threshold calculation. First calculate 3 / 4 of the highest statistical value SUM1 in all grayscale statistics of the bright grayscale area, and then follow a fixed limit value N1 (the fixed limit value is set according to the specific scene from light to dark, generally 80 ~120) compare, if 3 / 4*SUM1> N1, use 3 / 4*SUM1 as the threshold, otherwise, use N1 as the threshold; calculate 1 / 2 of the highest statistical value SUM2 in all grayscale statistics of the dark gray area, and the fixed limit value is N2, if 1 / 2*SUM2> N2, use 1 / 2*SUM2 as the threshold, otherwi...

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Abstract

The invention discloses an infrared-thermometer self-adaption three platform histogram equalization system and a method thereof. The system is formed by an infrared digital image histogram statistics module, a self-adaption image three platform threshold calculating module, an image detail component determination module, a gray scale statistics correction module, a histogram accumulation module and a dynamic gray scale mapping function module. The infrared digital image histogram statistics module is connected with the self-adaption image three platform threshold calculating module. The self-adaption image three platform threshold calculating module is connected with the image detail component determination module and the gray scale statistics correction module respectively. The gray scale statistics correction module is connected with the histogram accumulation module. The image detail component determination module and the histogram accumulation module are connected with the dynamic gray scale mapping function module. Realization is simple. Resource consumption is small and a processing speed is fast. Problems that a contrast ratio is low in high and low temperature areas of an infrared image and a background noise is loud can be effectively solved.

Description

Technical field [0001] The invention belongs to the technical field of infrared temperature measurement and infrared imaging, in particular to an infrared thermometer self-adapting three-platform histogram equalization system and method thereof. Background technique [0002] Modern high-performance infrared thermal imaging cameras can output infrared raw images with a large dynamic range. The original detector data range is generally 12-14 bit data, which is obviously beyond the dynamic range of the display device. A typical display device, such as a monitor, can only receive 8-bit image signals. In addition, the average human eye can only distinguish 128 gray levels. Therefore, when an original image with a high dynamic range is obtained, a necessary process is to remap the original image with a high dynamic range to compress its dynamic range. This process usually needs to achieve two goals: First: make the dynamic range of the output image match the dynamic range of the disp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01J5/02G06T5/40
Inventor 顾国华张桥舟陈钱樊晓清隋修宝孙镱诚何伟基于雪莲钱惟贤路东明
Owner NANJING UNIV OF SCI & TECH
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