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Rapid image fusing method for eliminating splicing slits

An image fusion and gap technology, applied in the field of image processing, can solve the problems of pixel value error, large amount of calculation, etc., and achieve the effect of fast speed and gap elimination

Inactive Publication Date: 2017-03-01
TIANJIN UNIV
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Problems solved by technology

[0011] Since the overlapping area after stitching the rotated images is an irregular figure, if the overlapping area is large, the weighted average operation is performed on all points in the overlapping area, and the amount of calculation is large
Moreover, the denominator of the weight is the same, which will cause an error in the calculation of the pixel value of the fused pixel.

Method used

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  • Rapid image fusing method for eliminating splicing slits
  • Rapid image fusing method for eliminating splicing slits
  • Rapid image fusing method for eliminating splicing slits

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Embodiment Construction

[0025] The traditional algorithm is to perform weighted average operation on all pixels in the overlapping area. If the overlapping area is large, the calculation amount will be very large, but in fact, the weighted average operation on the pixels far away from the stitching gap is unnecessary. In addition, the overlapping area is an irregular image. If the denominators of the weights are the same, errors will occur in the calculation of the pixel value of the pixel.

[0026] To solve the above problems, we propose an improved weighted fusion algorithm for stitched images. figure 1 The thick line in the middle is the gap after stitching the two images. The specific algorithm is as follows:

[0027] Step1: First, we set a threshold T, which is related to the brightness difference of the two images and the size of the overlapping area. The threshold range is generally 16 to 64 pixels.

[0028] Step2: Search for areas in the overlapping area whose distance from the stitching ga...

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Abstract

The invention relates to the field of image processing. The objectives of the invention are to avoid the condition that superposed regions are irregular graphs after splicing and eliminate slits after the splicing of images more quickly and precisely. The technical scheme is that the rapid image fusing method for eliminating splicing slits comprises steps of: Step1: firstly setting a threshold value T, wherein the range of the threshold value is 16-64 pixel points; Step 2: searching regions in the superposed regions, wherein the distance between the regions and the splicing slits is not greater than the threshold value in the positive direction of the x axis and the negative direction of the y axis, the distance between the A region and the upper boundary slit is not greater than the threshold value, the distance between the B region and the right boundary slit is not greater than the threshold value and the distance between the C region and the upper boundary slit and the right boundary slit is not greater than the threshold value; and Step 3: carrying out weighted average operation on points in transition regions. The rapid image fusing method is mainly used in design and manufacturing occasions.

Description

technical field [0001] The invention relates to the field of image processing and is used for optimizing spliced ​​images and eliminating gaps in spliced ​​images. Background technique [0002] In daily life, we can use a wide-angle lens or a scanning camera to capture wide-field images, but such equipment is generally expensive, and the captured images are distorted; The rate is lower. In order to obtain a wide-view image without reducing the image resolution, image stitching technology was created. Image stitching technology uses several small-view images to stitch together a large-view image. We can use image stitching technology Get a panoramic image. This technology is widely used in seabed exploration, remote sensing technology, medical image processing and military fields. [0003] The core of image stitching technology includes image registration and image fusion. Image registration refers to extracting the matching information in two or more images to be stitche...

Claims

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Application Information

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IPC IPC(8): G06T5/50G06T3/00
CPCG06T5/50G06T2207/20221G06T3/14
Inventor 史再峰张嘉平杜增权王晶波高阳
Owner TIANJIN UNIV
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