Improved image registration algorithm based on SIFT features

An image registration and image technology, applied in the field of image processing, can solve the problems of low detection efficiency and time-consuming detection stage, and achieve the effect of improving speed

Inactive Publication Date: 2018-04-06
HARBIN UNIV OF SCI & TECH
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Problems solved by technology

[0003] The purpose of the present invention is to solve the problem that the existing SIFT algorithm is aimed at feature point detection, the detection stage i

Method used

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  • Improved image registration algorithm based on SIFT features
  • Improved image registration algorithm based on SIFT features
  • Improved image registration algorithm based on SIFT features

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specific Embodiment approach

[0041] Specific implementation method: the flow of an improved image registration algorithm based on SIFT features in this embodiment is as follows figure 1 As shown, the specific steps include:

[0042] Step a, image acquisition:

[0043] Fix the workpiece, and take a complete image of the workpiece with overlapping parts by rotating the angle of the camera;

[0044] Step b, image geometry correction:

[0045] Performing geometric operations on the image obtained in step a to change the shape and spatial position of the object in the image, and establishing a function of the mapping relationship between all pixels in the image before image transformation and the image after transformation;

[0046] Step c, image preprocessing:

[0047] Perform image denoising and grayscale processing on the original image obtained by the imaging system to remove irrelevant information and restore useful information;

[0048] Step d, image registration:

[0049] Using the image registration...

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Abstract

The invention relates to the technical field of image processing, and particularly relates to an improved image registration algorithm based on SIFT features. The objective of the invention is to aimat feature point detection in the existing SIFT algorithm. The problems of large time consumption during the detection stage, low detection efficiency and the like in the prior art can be solved. An improved SIFT algorithm based on a pyramid structure and a feature point neighborhood is provided. The algorithm comprises the following specific steps of A, image acquisition; B, image geometric correction; C, image preprocessing; D, image registration; E, image fusion. The algorithm of the invention is used for the automatic detection of automobile parking claw parts.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an improved image registration algorithm based on SIFT features. Background technique [0002] The parking pawl is a key component in the automatic transmission of a car, which greatly affects the shifting performance of the car and is a very critical component. The parking claw plays an important role in the automatic transmission. The manufacturing error of the workpiece will largely determine the performance of the parking claw, which will greatly affect the performance of the car, and may even endanger the driver's personal safety. . However, the overall parameters and specific dimensions of the workpiece in the forging process are inconsistent with the design dimensions of the die due to wear, deformation, vibration, partial load, and improper manual operation of the die and press during the forging process. Therefore, in the forging production process, it is neces...

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Application Information

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IPC IPC(8): G06T7/33G06T5/00
CPCG06T7/33G06T5/006G06T2207/20024G06T2207/20032G06T2207/20221G06T2207/30164
Inventor 刘泊庞营
Owner HARBIN UNIV OF SCI & TECH
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