A fisheye image correction method based on variable length ellipse fitting
A fisheye image, ellipse fitting technology, applied in image enhancement, image data processing, instruments and other directions, can solve problems such as overcorrection, lack of real-time performance, and insufficiency, and achieve the effect of strong real-time performance, simple algorithm, and easy portability.
Active Publication Date: 2016-10-19
NORTHEASTERN UNIV LIAONING
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However, optimization algorithms such as neural networks have the problems of complex algorithms and insufficient real-time performance, making it difficult to transplant embedded devices and mobile devices
Moreover, since the optimization algorithm is a black-box model, the selection of image samples has a great influence on the corrected mapping relationship after training. If the selected samples are not typical, the corrected image obtained by the optimization algorithm will lead to over-correction or under-correction. Happening
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[0024] The specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0025] The software environment of this embodiment is the WINDOWS7 system, the simulation environment is MATLAB R2014a, and the processor is the second generation Core i5-2410.
[0026] The fisheye image correction method based on variable length ellipse fitting in this embodiment, such as figure 1 shown, including the following steps:
[0027] Step 1. Convert the color fisheye image into a grayscale fisheye image.
[0028] Due to the large amount of color image information and the inconspicuous grayscale features, the processing burden of the algorithm is increased. In this embodiment, the grayscale conversion function of the MATLAB R2014a system is used to convert the color fisheye image into a grayscale fisheye image. The grayscale image has 640 pixels. ×480.
[0029] Step 2. Use the global grayscale average value of the grayscale fi...
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The present invention proposes a fisheye image correction method based on variable-major axis ellipse fitting, and establishes a variable-major axis ellipse fitting correction model. This model is based on a longitude and latitude mapping correction algorithm and simultaneously adjusts the longitude long-axis parameters and the latitude long-axis parameters. The final variable-length axis ellipse fitting correction model is obtained. According to the pixel coordinates of the fisheye image, the variable-length axis ellipse fitting correction model is used to obtain the corresponding pixel point coordinates of the fisheye image under the pixel coordinates, and the fisheye corrected image is obtained. The correction process uses table mapping to record the mapping of pixels throughout the process to obtain the final corrected image. It has the characteristics of simple algorithm and strong real-time performance, and is easy to transplant into embedded devices and mobile devices.
Description
technical field [0001] The invention relates to the technical field of machine vision, in particular to a fisheye image correction method based on variable length ellipse fitting. Background technique [0002] The fisheye lens is a kind of super wide-angle lens. In order to achieve the maximum viewing angle of the lens, the diameter of the front lens of the lens is very short and protrudes toward the front of the lens in a parabolic shape. The fisheye lens has a short focal length and a large viewing angle, and there is a geometric optical error between its imaging point and the ideal imaging point, also known as distortion. In the actual optical imaging system of camera and lens combination, the causes of distortion are mainly divided into two categories: radial distortion and eccentric distortion. Radial distortion refers to the change of radial curvature that causes the actual imaging point to deviate radially from the ideal imaging point. The farther the deformation is ...
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IPC IPC(8): G06T5/00G06K9/38
Inventor 朱德龙张云洲钟惟林廖峭
Owner NORTHEASTERN UNIV LIAONING