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Elliptical object feature extraction method based on maximum entropy criterion

A feature extraction and maximum entropy technology, which is applied to instruments, character and pattern recognition, computer components, etc., can solve problems such as failure and insufficient robustness of outliers, and achieve good performance

Pending Publication Date: 2021-03-09
NINGBO UNIV
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Problems solved by technology

The above two methods are not robust enough to outliers, and both methods may fail when there are many outliers

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  • Elliptical object feature extraction method based on maximum entropy criterion
  • Elliptical object feature extraction method based on maximum entropy criterion
  • Elliptical object feature extraction method based on maximum entropy criterion

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Embodiment Construction

[0043] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0044] A feature extraction method for an ellipse object based on the maximum entropy criterion proposed by the present invention, its overall realization block diagram is as follows figure 1 As shown, it includes the following steps:

[0045] Step 1: Take a photo of the elliptical object to obtain a picture; then use the existing morphological operation to preprocess the picture to obtain the preprocessed picture; then use the existing edge detection technology to detect all the images containing For edge data points including outliers, set the number of detected edge data points including outliers to N; among them, N is a positive integer, N≥5, and the larger N is, the higher the computational complexity .

[0046] Here, the noise of the picture can be removed through morphological operations, and the edge effect of the picture can be enha...

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Abstract

The invention discloses an elliptical object feature extraction method based on a maximum entropy criterion, and the method comprises the steps: carrying out the preprocessing of a picture of an elliptical object so as to remove noise, and detecting all edge data points including outliers; describing an algebraic distance between a to-be-solved ellipse corresponding to the elliptical object part in the preprocessed picture and each edge data point in a model manner; introducing a maximum entropy criterion to obtain an optimization problem based on the maximum entropy criterion; converting theoptimization problem based on the maximum entropy criterion according to the property of the convex conjugate function; decomposing the converted problem into two sub-problems, wherein the first sub-problem can be converted into a standard second-order cone programming problem, and the second sub-problem has a closed-form solution; solving the parameters in a general equation of the ellipse in aniterative mode, obtaining the ellipse corresponding to the ellipse object part in the preprocessed picture through fitting, and then determining the position of the ellipse object is determined. The method has the advantage that the position features of the elliptical object can be accurately extracted.

Description

technical field [0001] The invention relates to an object feature extraction method, in particular to an ellipse object feature extraction method based on the maximum entropy criterion. Background technique [0002] Ellipse fitting is an indispensable basic technology in image processing, and it has been widely used in computer vision, astronomical observation, automatic production and medical diagnosis and other fields. For example, the iris is an important biological feature. Iris recognition technology has important applications in the fields of security, national defense, and e-commerce. The primary task of iris recognition is iris positioning. The relative movement of the eyes and the camera makes the pupil image appear elliptical. Therefore, image processing techniques such as image threshold segmentation, edge detection, and ellipse fitting can be used to determine the pupil region and lay the foundation for subsequent iris positioning. Among them, ellipse fitting is ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46
CPCG06V40/18G06V20/20G06V10/44
Inventor 胡晨龙王刚
Owner NINGBO UNIV
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