CN102819833A - Platform histogram equalization method for infrared image - Google Patents
Platform histogram equalization method for infrared image Download PDFInfo
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- CN102819833A CN102819833A CN2011104264823A CN201110426482A CN102819833A CN 102819833 A CN102819833 A CN 102819833A CN 2011104264823 A CN2011104264823 A CN 2011104264823A CN 201110426482 A CN201110426482 A CN 201110426482A CN 102819833 A CN102819833 A CN 102819833A
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Abstract
The invention relates to a platform histogram equalization method for an infrared image and belongs to the technical field of image enhancement. The method comprises the steps of firstly choosing a threshold value of an image input platform and then changing a gray value of an infrared image; and on the basis that the infrared image is fully analyzed to be poor in contrast ratio and weak in hierarchical sense, after the infrared image is subjected to platform threshold value selection, achieving subsection linear drawing histogram equalization process, so that the hierarchical sense of the image is enriched, and the infrared image is enhanced effectively.
Description
Technical field
The present invention relates to a kind of platform histogram equalizing method that is used for infrared image, belong to the image enhancement technique field.
Background technology
Infrared image is the imaging that the scene heat radiation distributes.Because the target in the scene and the temperature difference of background are less relatively, so the infrared image visual effect is relatively poor, show as image blurring, poor contrast.For fullest utilize given gray scale dynamic range, make infrared image that abundanter stereovision visually arranged, strengthen picture contrast, therefore, proposes a kind of infrared image improvement platform histogram equalizing method that is used for and improves image quality.
Summary of the invention
The purpose of this invention is to provide a kind of platform histogram equalizing method that is used for infrared image, to solve existing infrared image poor visual effect, the problem of poor contrast.
Be to realize above-mentioned purpose, a kind of platform histogram equalizing method step that is used for infrared image of the present invention is following:
(1) each gray-level pixels number of statistics infrared image;
(2) find out gray level maximal value and minimum value in the statistics, and a of minimum value doubly is made as minimum plateau value, peaked b doubly is made as maximum plateau value;
(3) minimum plateau value will be changed to less than the gray-scale value of minimum plateau value, maximum plateau value will be changed to greater than the gray-scale value of maximum plateau value;
(4) the gradation of image value is divided into the n sub-interval;
(5) find out the gray-scale value of each sub-range starting point, terminal point, the terminal point gray-scale value is deducted the product of starting point gray-scale value and variable c;
(6) value and this interval interior pixel long-pending this interval threshold value that deducts on duty that step 5) are obtained;
(7) the long-pending addition of the value that step 6) is obtained and threshold value and variable a.
Further, in the said step (4) the gradation of image value is divided into the n sub-interval that pixel count equates.
A kind of platform histogram equalizing method that is used for infrared image of the present invention; Make full use of given gray scale dynamic range; Infrared image is carried out the platform threshold value to be selected; Piecewise linearity stretching histogram equalization is handled, and makes infrared image that abundanter stereovision visually arranged, and has effectively strengthened infrared image contrast.
Description of drawings
Fig. 1 is the process flow diagram of the embodiment of the invention;
Fig. 2 is the preceding former figure of processing of the embodiment of the invention;
Fig. 3 is the image after the processing of the embodiment of the invention.
Embodiment
Be illustrated in figure 1 as a kind of process flow diagram that is used for the platform histogram equalizing method embodiment of infrared image of the present invention, step is following:
(1) each gray-level pixels number of statistics infrared image;
(2) find out pixel count greater than 0 gray level maximal value and minimum value, and with a of minimum value doubly (a gets 1.1) be made as minimum plateau value, peaked b doubly (b gets 0.8) is made as maximum plateau value;
(3) minimum plateau value will be changed to less than the gray-scale value of minimum plateau value, maximum plateau value will be changed to greater than the gray-scale value of maximum plateau value;
(4) the gradation of image value is divided into pixel count n (n is taken as 64) sub-interval about equally;
(5) find out the gray-scale value of each sub-range starting point, terminal point, the terminal point gray-scale value is deducted the product of starting point gray-scale value and variable c;
(6) value and this interval interior pixel long-pending this interval threshold value that deducts on duty that step 5) are obtained;
(7) the long-pending addition of the value that step 6) is obtained and threshold value and variable a.
Embodiment:
A kind of infrared image that is used for that proposes to the present invention improves the platform histogram equalizing method, and is following with instantiation explanation concrete steps:
1) as shown in Figure 2, on entire image, begin each gray-level pixels number of statistical picture from first pixel;
2) find out pixel count greater than 0 gray level maximal value and minimum value;
3) a that selects the minimum value that step 2 calculates doubly (general value is between 1.0-1.2, and a gets 1.1 here) as minimum plateau value, select peaked b doubly (general value is between 0.7-1, and b gets 0.8 here) as maximum plateau value;
4) minimum plateau value will be changed to less than the gray-scale value of minimum plateau value, maximum plateau value will be changed to greater than the gray-scale value of maximum plateau value;
5) the gradation of image value is divided into pixel count n about equally (n can be taken as 2 exponential depth, and general n gets 64) sub-range;
6) obtain the grey scale pixel value of each interval starting point;
(2) the gray scale functional transformation is handled
7) after the platform threshold value is selected to accomplish, in each interval that step 5) obtains, end point values deducts the product of threshold value and variable c (general value is between 0.3-1, and c gets 0.8) here;
8) value and this interval interior pixel long-pending this interval threshold value that deducts on duty that step 7) are obtained;
9) value that step 8) is obtained is divided by this burst length;
10) Flame Image Process is accomplished in the long-pending addition of the value that step 9) is obtained and interval threshold value and variable a, and is as shown in Figure 3.
Claims (2)
1. platform histogram equalizing method that is used for infrared image, its characteristic exists, and the step of this method is following:
(1) each gray-level pixels number of statistics infrared image;
(2) find out gray level maximal value and minimum value in the statistics, and a of minimum value doubly is made as minimum plateau value, peaked b doubly is made as maximum plateau value;
(3) minimum plateau value will be changed to less than the gray-scale value of minimum plateau value, maximum plateau value will be changed to greater than the gray-scale value of maximum plateau value;
(4) the gradation of image value is divided into the n sub-interval;
(5) find out the gray-scale value of each sub-range starting point, terminal point, the terminal point gray-scale value is deducted the product of starting point gray-scale value and variable c;
(6) value and this interval interior pixel long-pending this interval threshold value that deducts on duty that step 5) are obtained;
(7) the long-pending addition of the value that step 6) is obtained and threshold value and variable a.
2. method according to claim 1 is characterized in that: in the said step (4) the gradation of image value is divided into the n sub-interval that pixel count equates.
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| CN201110426482.3A CN102819833B (en) | 2011-12-19 | 2011-12-19 | Platform histogram equalization method for infrared image |
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| CN201110426482.3A CN102819833B (en) | 2011-12-19 | 2011-12-19 | Platform histogram equalization method for infrared image |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103065281A (en) * | 2011-12-17 | 2013-04-24 | 中国航空工业集团公司洛阳电光设备研究所 | Short wave infrared image intensification method and device based on field programmable gate array (FPGA) |
| CN104268840A (en) * | 2014-09-30 | 2015-01-07 | 成都市晶林科技有限公司 | Method for enhancing infrared image histogram redundancy elimination and gray level equal interval mapping |
| CN105354814A (en) * | 2015-08-17 | 2016-02-24 | 电子科技大学 | Infrared image segmentation method |
| WO2017185957A1 (en) * | 2016-04-29 | 2017-11-02 | 京东方科技集团股份有限公司 | Image processing method, image processing apparatus and display device |
| CN107689212A (en) * | 2017-09-14 | 2018-02-13 | 遵义师范学院 | A kind of current limit algorithm of low-power consumption high image quality |
| US12086968B2 (en) | 2018-11-21 | 2024-09-10 | Zhejiang Dahua Technology Co., Ltd. | Systems and methods for image processing |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103065281A (en) * | 2011-12-17 | 2013-04-24 | 中国航空工业集团公司洛阳电光设备研究所 | Short wave infrared image intensification method and device based on field programmable gate array (FPGA) |
| CN104268840A (en) * | 2014-09-30 | 2015-01-07 | 成都市晶林科技有限公司 | Method for enhancing infrared image histogram redundancy elimination and gray level equal interval mapping |
| CN105354814A (en) * | 2015-08-17 | 2016-02-24 | 电子科技大学 | Infrared image segmentation method |
| WO2017185957A1 (en) * | 2016-04-29 | 2017-11-02 | 京东方科技集团股份有限公司 | Image processing method, image processing apparatus and display device |
| US10013747B2 (en) | 2016-04-29 | 2018-07-03 | Boe Technology Group Co., Ltd. | Image processing method, image processing apparatus and display apparatus |
| CN107689212A (en) * | 2017-09-14 | 2018-02-13 | 遵义师范学院 | A kind of current limit algorithm of low-power consumption high image quality |
| US12086968B2 (en) | 2018-11-21 | 2024-09-10 | Zhejiang Dahua Technology Co., Ltd. | Systems and methods for image processing |
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