Image processing method performing quasi-circular detection by improving Hough transformation

A circular detection and image processing technology, applied in the field of image processing, can solve problems such as poor anti-interference performance, reduced algorithm performance, and large memory usage, so as to reduce memory requirements, improve algorithm efficiency, and improve detection accuracy.

Inactive Publication Date: 2012-07-11
上海禹视科技有限公司
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Problems solved by technology

For a long time, Hough transform has been a practical and effective method for detecting straight lines / circles / ellipses, but for detecting circles, Hough transform also has several major disadvantages: 1. It takes up a lot of memory; 2. Unable to detect irregular round objects (such as bubbles, cells, etc.); 3. Poor anti-interference performance;
Although the random Hough transform reduces the complexity and memory requirements of the algorithm, it also has several shortcomings: 1. The detection performance is not good when dealing with multiple circles or ellipses on the same image; 2. Unable to detect irregular round objects (such as bubbles, cells); 3. With the increase of image noise, the performance of the algorithm is greatly reduced

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  • Image processing method performing quasi-circular detection by improving Hough transformation
  • Image processing method performing quasi-circular detection by improving Hough transformation
  • Image processing method performing quasi-circular detection by improving Hough transformation

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Embodiment Construction

[0022] The embodiments of the present invention are described in detail below in conjunction with the accompanying drawings: this embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following the described embodiment.

[0023] This embodiment is based on the realization of cell detection, and the input image is a microscopic photo image of cells.

[0024] Such as figure 1 As shown, this embodiment provides an image processing method using the improved Hough transform for circle-like detection, including the following steps:

[0025] Step 1, image preprocessing, due to the defects of lighting or imaging system, the brightness and contrast of the obtained image to be processed are not uniform, resulting in inconsistent processing effects of the same set of algorithms and parameters on...

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Abstract

An image processing method performing quasi-circular detection by improving Hough transformation includes the following seven steps: image preprocessing, edge extraction and noise filtering, gradient direction weighting Hough transformation projecting, projection space low-pass smoothing filtering, contraction processing and binarizing, circle center positioning and radius estimating. Compared with the traditional Hough transformation circular detection, the image processing method reduces requirements of algorithm for internal memory, improves algorithm efficiency, improves performance of algorithm on detection of irregular quasi-circular objects, and simultaneously improves detection accuracy of algorithm in conditions of large circular radius change intervals.

Description

technical field [0001] The invention relates to an image processing method for circle-like detection by using the improved Hough transform, which is used for image processing, computer vision and industrial automation inspection. It belongs to the technical field of computer information image processing. Background technique [0002] Fast and accurate detection of circular and quasi-circular objects has broad application prospects in the fields of computer vision and pattern recognition. For example, industrial inspection lines, biomedical monitoring equipment, and automated assembly lines all involve the application of computer vision technology for circular and quasi-circular detection. For a long time, Hough transform has been a practical and effective method for detecting straight lines / circles / ellipses, but for detecting circles, Hough transform also has several major disadvantages: 1. It takes up a lot of memory; 2. Unable to detect irregular round objects (such as b...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/60G06T5/00G06T7/62
Inventor 黄海清
Owner 上海禹视科技有限公司
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