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Image stitching algorithm based on image sharpness perception algorithm

An image stitching and image technology, which is applied in image analysis, image data processing, graphics and image conversion, etc., can solve the problems of accelerating matching speed and poor performance, and achieve the effect of improving blur and eliminating distortion

Pending Publication Date: 2021-08-20
WUHAN TEXTILE UNIV
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Problems solved by technology

The PCA-SIFT (Principal Component Analysis SIFT) operator, an improved descriptor based on SIFT, reduces the 128-dimensional feature vector of SIFT to 36 dimensions, which speeds up the matching speed, but its performance is inferior to that of the SIFT algorithm

Method used

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  • Image stitching algorithm based on image sharpness perception algorithm
  • Image stitching algorithm based on image sharpness perception algorithm
  • Image stitching algorithm based on image sharpness perception algorithm

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Embodiment Construction

[0039] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0040] The image mosaic algorithm based on the image clarity perception algorithm comprises the following steps:

[0041] Step 1. The camera advances along the pipeline axis in the pipeline to be tested, continuously collects images in the pipeline, obtains continuous images of the inner wall of the pipeline, extracts an image to be stitched every 10 frames, and obtains multiple frames of images to be stitched. The extracted image to be spliced ​​uses Gamma transformation to optimize the image exposure until the Hough circle transformation algorithm can find the reference center of the image;

[0042] Step 2. Take the clear ring part around the center of the reference circle in the image to be stitched, and expand the ring part into a rectangular image; the expansion method is to traverse the upper, lower, left, and right boundaries of the image...

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Abstract

The invention relates to an image splicing algorithm based on an image sharpness perception algorithm, which can be applied to splicing of rock inner wall images, so that an operator can visually see a rectangular expansion view of the inner wall of a pipeline and find problems. Compared with a conventional image splicing algorithm, the image splicing algorithm is more applied to transverse splicing of images, but the research on longitudinal splicing and continuous splicing of the images is less, the spliced images are relatively fuzzy under the condition of low resolution, and image distortion is caused by undetermined size and area of the spliced images. According to the method, the clear area of the image spliced each time is obtained by utilizing a self-attention mechanism, then the high-quality feature points of the clear area are measured, and each image is spliced according to the displacement of the same feature point, so that the size of the spliced area is determined, the distortion of the image is thoroughly eliminated, and the blurring caused by ghosting is improved.

Description

technical field [0001] The invention belongs to a text style conversion method, and in particular relates to an image mosaic algorithm based on an image clarity perception algorithm. Background technique [0002] The Transformer architecture is a popular research in the field of machine learning (especially in NLP), which has brought us many important results, such as: GPT-2, GPT-3 and other writing robots; the first generation of GPT and its superior performance Its "successor" BERT model has achieved the most accurate results with unprecedented data utilization efficiency in many language understanding tasks, and hardly needs to adjust any parameters, that is, what it took a month to do in the past, now only needs to spend 30 minutes, but also achieved better results; and AlphaStar and so on. [0003] In 2017, the Google team first proposed the Transformer model. The team summarized Transformer into one sentence: "Attention is All You Need." But just looking at this sent...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T7/13
CPCG06T3/4007G06T7/13
Inventor 陈佳傅振鹏杨聪聪何儒汉胡新荣
Owner WUHAN TEXTILE UNIV
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