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Circle detection method and device

A circle detection and detection algorithm technology, applied in image data processing, instrumentation, calculation and other directions, can solve the problems of high computational complexity, slow calculation speed, large storage space, etc., to achieve iris positioning, improve efficiency, fast and circular The effect of detection

Inactive Publication Date: 2011-11-09
SIEMENS AG
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Problems solved by technology

Since the computational complexity increases geometrically with the dimension of the parameter space, the computational complexity of the CHT algorithm is high, the calculation speed is slow, and a large storage space is required.

Method used

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  • Circle detection method and device
  • Circle detection method and device

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Embodiment Construction

[0020] In order to make the purpose, technical solution and advantages of the present invention clearer, the invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0021] The embodiment of the present invention proposes a new circle detection method. According to the quality of the image to be detected, a suitable circle detection algorithm is selected for circle detection, and the time required for circle detection can be reduced while ensuring the detection accuracy. High-precision circle detection.

[0022] figure 1 It shows the circle detection method described in the embodiment of the present invention, which mainly includes the following steps:

[0023] Step 101: Perform edge detection on the image to be detected to obtain an edge point set of the image.

[0024] In this step, a traditional image edge detection algorithm may be used, for example, a Canny operator (Canny Operator) to filter the image to obta...

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Abstract

The invention discloses a circle detection method which comprises the following steps: carrying out edge detection on an image to obtain an edge point set of the image; analyzing the edge point set of the image to obtain a quality analysis result of the image; selecting a circle detection algorithm based on the quality analysis result of the image; and using the selected circle detection algorithm to carry out circle detection on the image. The invention also discloses a device for implementing the circle detection method. By carrying out quality analysis on the image before circle detection and selecting different circle detection algorithms to perform circle detection based on the quality of the image, the invention can effectively balance the two indices, namely the circle detection efficiency and the circle detection accuracy, thereby simultaneously ensuring the circle detection accuracy and improving the circle detection efficiency so as to realize high-speed and high-accuracy circle detection.

Description

technical field [0001] The invention relates to the technical field of automatic detection and biological feature recognition, in particular to a circle detection method in industrial and medical image applications. Background technique [0002] Circle detection is one of the key technologies in industrial as well as medical image applications such as automatic inspection and biometric recognition. Most of the existing circle detection methods realize circle detection by finding the radius and center of the circle in the image. For example, Hough Transform (HT, Hough Transform) is a commonly used analysis feature extraction algorithm. The HT algorithm can be used to extract analysis features such as straight lines, circles, and ellipses in images, and the HT algorithm has certain characteristics for noise, interference, deformation, etc. Better robustness. Circle Hough Transform (CHT, Circle Hough Transform) is a commonly used circle detection algorithm, and its goal is to...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 张鹏飞
Owner SIEMENS AG
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