Ellipse detection method and system based on Hough conversion and ovum identification method

Abstract

The invention relates to an ellipse detection method based on Hough conversion and an ellipse detection system based on Hough conversion. The method comprises the following steps of acquiring images; performing edge detection to the acquired images by using an edge detection method, thereby obtaining binary images; performing Hough conversion to the binary images to obtain a candidate ellipse centre; according to coordinates of the candidate ellipse centre and the parameter equation of the ellipse, performing Hough conversion to obtain the parameters of the candidate ellipse; judging whether the candidate ellipse obtained according to the parameters of the candidate ellipse and the candidate ellipse centre is a properly elliptic; if the candidate ellipse is properly elliptic, locating the ellipse. The candidate ellipse can be judged as being properly elliptic and located by the method. The obtained candidate ellipse is judged whether to be true and false by the method, so that the false ellipse is eliminated, the false detection rate is reduced, the detection accuracy of the ellipse is improved and the ellipse can be effectively located.

Description

Technical field

[0001] The invention relates to the field of image processing, in particular to an ellipse detection method, system and egg identification method based on Hough transform. Background technique

[0002] How to quickly and accurately detect elliptical targets in complex images has always been an important issue that researchers are trying to explore. This has important applications in the fields of biomedical microscopy, industrial automation detection, robot vision, space technology and military defense. Hough transform is one of the most effective methods for curve detection. It was proposed by Paul Hough in 1962 and was published as a patent in the United States.

[0003] An existing new Hough Transform (CMHT) detection method based on the midpoint of the chord uses the property that the inscribed ellipse of all points on the ellipse must pass through the center of the ellipse, first accumulate the edge points of the image to obtain the center of the ellipse, and ...

Examples

Embodiment Construction

[0062] Such as figure 1 As shown, an ellipse detection method based on Hough transform includes the following steps:

[0063] S10: Obtain an image. The acquired image is a microscopic image of blood, urine or stool samples. Through the ellipse detection method of the present invention, elliptical objects in the image can be extracted, such as the segmentation and extraction of red and white blood cells and egg cells in urine and stool microscopy.

[0064] S20: Perform edge detection on the acquired image using an edge detection method to obtain a binary image. The specific edge detection method can use the log operator of zero-crossing detection or the Canny operator of multi-scale spatial edge detection. By using the edge detection method, the pixel points of the edge of the ellipse are extracted, and the pixel points of the edge are the feature points of the ellipse.

[0065] S30: Perform Hough transform on the binary image to obtain the candidate ellipse center.

[0066] The elli...

Technical field

[0001] The invention relates to the field of image processing, in particular to an ellipse detection method, system and egg identification method based on Hough transform. Background technique

[0002] How to quickly and accurately detect elliptical targets in complex images has always been an important issue that researchers are trying to explore. This has important applications in the fields of biomedical microscopy, industrial automation detection, robot vision, space technology and military defense. Hough transform is one of the most effective methods for curve detection. It was proposed by Paul Hough in 1962 and was published as a patent in the United States.

[0003] An existing new Hough Transform (CMHT) detection method based on the midpoint of the chord uses the property that the inscribed ellipse of all points on the ellipse must pass through the center of the ellipse, first accumulate the edge points of the image to obtain the center of the ellipse, and ...

Examples

Embodiment Construction

[0062] Such as figure 1 As shown, an ellipse detection method based on Hough transform includes the following steps:

[0063] S10: Obtain an image. The acquired image is a microscopic image of blood, urine or stool samples. Through the ellipse detection method of the present invention, elliptical objects in the image can be extracted, such as the segmentation and extraction of red and white blood cells and egg cells in urine and stool microscopy.

[0064] S20: Perform edge detection on the acquired image using an edge detection method to obtain a binary image. The specific edge detection method can use the log operator of zero-crossing detection or the Canny operator of multi-scale spatial edge detection. By using the edge detection method, the pixel points of the edge of the ellipse are extracted, and the pixel points of the edge are the feature points of the ellipse.

[0065] S30: Perform Hough transform on the binary image to obtain the candidate ellipse center.

[0066] The elli...

Images