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A Fast Acquisition Method for the Overlapping Area of ​​Two Scene Images Based on Parallel Computing Algorithm

An image overlapping and acquisition method technology, applied in computing, image analysis, image enhancement, etc., can solve the problems of high work cost, low efficiency, and reduced utilization of effective information, so as to avoid the loss of effective information and make the technical process simple and clear , The program structure is simple and clear

Active Publication Date: 2021-09-28
RES INST OF FOREST RESOURCE INFORMATION TECHN CHINESE ACADEMY OF FORESTRY +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] 1. All these cutting operations need to be completed manually under the support of a certain software environment
[0006] 2. Through the above two methods of image cropping, especially when using a rectangular bounding box to crop the image, the obtained cropped image will inevitably cause the loss of information in a large number of overlapping areas, that is, the loss of effective information. Greatly reduced utilization
[0007] 3. The quality requirements for the staff who need to cut the image are relatively high, and the results of the cutting operation performed by different operators are also very random, and the reliability and controllability of the data processing work are relatively poor
[0008] 4. Due to the need to perform cropping operations on two or more images separately, it causes problems such as heavy workload, low efficiency, and high cost of repeated operations
[0009] If it is necessary to carry out large-scale image data cropping processing, it will bring a huge expenditure on manpower and material resources, and it will also bring great hidden dangers in terms of processing efficiency and data reliability.

Method used

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  • A Fast Acquisition Method for the Overlapping Area of ​​Two Scene Images Based on Parallel Computing Algorithm
  • A Fast Acquisition Method for the Overlapping Area of ​​Two Scene Images Based on Parallel Computing Algorithm
  • A Fast Acquisition Method for the Overlapping Area of ​​Two Scene Images Based on Parallel Computing Algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] Embodiment 1: as figure 1 , figure 2 , image 3 , Figure 4 , Figure 5 , Figure 6 , Figure 7 , Figure 8 , Figure 9 and Figure 10 As shown, a method based on a parallel computing algorithm to quickly acquire the overlapping area of ​​two scenes images, crops the two scenes images that have been corrected and registered, and in order to improve the efficiency of the program and reduce invalid control and judgment work, it is agreed Invalid cells at background positions in the image have their cell value set to 0, while valid cells have their cell value set to any value greater than 0. At the same time, for the convenience of algorithm description, this example agrees that the image uses a single-band image.

[0051] A method for quickly acquiring overlapping areas of two scene images based on a parallel computing algorithm, comprising the following steps;

[0052] Step 1. Calculate the maximum spatial coordinate range that can completely contain the two i...

Embodiment 2

[0066] Embodiment 2: as figure 1 , figure 2 , image 3 , Figure 4 , Figure 5 , Figure 6 , Figure 7 , Figure 8 , Figure 9 and Figure 10 As shown in , a method based on parallel computing algorithm to quickly acquire the overlapping area of ​​two scene images, the overall steps are shown in figure 2 shown.

[0067] Step 1. Calculate the maximum spatial coordinate range that can completely contain the two images according to the corresponding relationship between the two images in space, and create two background image data templates with a pixel value of 0 according to the spatial coordinate range, namely Image XTX1 and Image XTX2;

[0068] Step 2. Add the two scene original images TX1 and TX2 to the created image XTX1 and image XTX2 data buffer by resampling, so that all pixels in the image XTX1 and image XTX2 are in the spatial position and pixel data has a complete one-to-one correspondence;

[0069] Step 3. Compare each pair of pixels in the two images o...

Embodiment 3

[0213] Embodiment 3: as figure 1 , figure 2 , image 3 , Figure 4 , Figure 5 , Figure 6 , Figure 7 , Figure 8 , Figure 9 and Figure 10 As shown, a method based on parallel computing algorithm for fast acquisition of overlapping areas of two scenes images, the parallel computing method of image cropping is as follows: determine the original images TX1 and TX2 of the two scenes, according to the maximum spatial geographic coordinate range after their superimposition, respectively Perform resampling to generate new image data XTX1, XTX2; perform cropping operation on the newly generated image data XTX1, XTX2.

[0214] Moreover, the resampling operation of the original images TX1 and TX2 and the cropping operation of the image data XTX1 and XTX2 do not cause mutual crossover and repeated calls in the use of data, and the process is clear and the logical relationship is simple. It is necessary to increase the data grouping The image cropping operation can be transf...

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Abstract

The invention discloses a method for quickly acquiring overlapping regions of images of two scenes based on a parallel computing algorithm, which belongs to the technical field of computing algorithm programs and image processing. According to the corresponding relationship between the two scene images in the spatial position, calculate the maximum spatial coordinate range that can completely contain the two scene images, and create two background image data templates with a pixel value of 0 according to the spatial coordinate range; Images TX1 and TX2 are added to the created image XTX1 and image XTX2 data buffers by resampling; when the comparison and calculation processing of all pixels is completed, the cropping process of image XTX1 and image XTX2 is completed. The present invention does not need manual operation and human judgment work at all, greatly improves work efficiency, and avoids the loss of effective information caused by overlapping area information in conventional cutting operations.

Description

technical field [0001] The invention relates to a method for quickly acquiring overlapping regions of images of two scenes based on a parallel computing algorithm, and belongs to the technical fields of computing algorithm programs and image processing. Background technique [0002] In the analysis and monitoring of resource changes based on image data, how to cut out the image parts that do not overlap in the spatial position of two or more scene images in different periods, and only keep the parts that completely overlap between them Image is a regular work that must be done. There are basically two commonly used operation methods at present, and these operations need to be operated on some image processing software or geographic information software platform. The basic principle is to use a closed polygonal vector data to perform two or more images Cropping is performed to obtain image data with complete overlap in spatial positions. [0003] Among the commonly used ima...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/62
CPCG06T7/0002G06T2207/10004G06T7/62
Inventor 赵峰孟献策鞠洪波刘华凌成星张怀清陈永富王晓慧肖鹏
Owner RES INST OF FOREST RESOURCE INFORMATION TECHN CHINESE ACADEMY OF FORESTRY
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