Method of extracting crimping wheels based on two-stage ant colony algorithm

A technology of ant colony algorithm and crimping wheel, which is applied in calculation, calculation model, image analysis, etc., can solve the problems that the edge contour of iris crimping wheel is not very clear, the texture of the edge of crimping wheel is complex and discontinuous, etc.

A technology of ant colony algorithm and crimping wheel, which is applied in calculation, calculation model, image analysis, etc., can solve the problems that the edge contour of iris crimping wheel is not very clear, the texture of the edge of crimping wheel is complex and discontinuous, etc.

CN105574858BInactive Publication Date: 2019-08-23SHENYANG POLYTECHNIC UNIV

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  • Method of extracting crimping wheels based on two-stage ant colony algorithm
  • Method of extracting crimping wheels based on two-stage ant colony algorithm
  • Method of extracting crimping wheels based on two-stage ant colony algorithm

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Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] As shown in the figure, the method of extracting the crimping wheel based on the two-stage ant colony algorithm is implemented in the following steps:

[0045] A. The first stage:

[0046] (1) Extract the iris from the iris image and normalize it into a rectangle, then find the gradient image of the rectangle image and binarize it; set the parameters of the ant colony algorithm;

[0047] (2) Place artificial ants within the range of the binarized gradient rectangle image to complete initial positioning;

[0048] (3) Each artificial ant performs steps (4) to (5) in turn;

[0049] (4) Ant selects the next position;

[0050] (5) The pheromone update is carried out to the passing position of the artificial ants;

[0051] (6) If the specified number of iterations is not met, then skip to step (3), otherwise perform step (7);

[0052] (7) Find the row coordinates of the pixel point with the largest accumulated pheromone in each column of the image after iteration, and cal...

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Abstract

The invention belongs to the technical field of iris diagnosis, and in particular relates to a method for extracting crimping wheels based on a two-stage ant colony algorithm; the method needs to be iterated twice, and the task of the first stage is to use a large number of artificial ants to perform a few iterations to determine the ANW Approximate position, which is used to determine the initial position of the artificial ants in the next stage; in the second stage, a small number of artificial ants are used to perform multiple iterations to obtain the final extraction result of the crimping wheel. In the process of each iteration, the artificial ants can quickly approach the ANW direction by introducing the local direction guidance factor and the global direction guidance factor; by using the pheromone update strategy based on the point density, the pheromone concentration near the edge of the ANW can be Rapid growth, and finally extract the final ANW curve according to the concentration value of pheromone.

Description

technical field [0001] The invention belongs to the technical field of iris diagnosis, and in particular relates to a method for extracting crimping wheels based on a two-stage ant colony algorithm. Background technique [0002] In iris diagnostics, the iris curl wheel is an important diagnostic sign. It is located on the periphery of the intestinal ring and is a ring-shaped line that divides the iris into two parts: the pupil in the center and the ciliary body in the periphery. It is composed of blood vessels and nerves, representing the visceral autonomic nervous system (sympathetic and parasympathetic) in the human nervous system, and it can display a lot of information related to the intestinal tract and visceral nerves. When the edge of the crimping wheel is abnormal, such as expanding or contracting, it indicates that the function of the human intestinal tract is abnormal. Therefore, whether the human intestinal tract is healthy can be known by detecting the change of...

Claims

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Application Information

Patent Timeline
23 Aug 2019
Publication
CN105574858B
IPC
G06T7/00; G06N3/00
CPC
G06N3/006; G06T7/0012; G06T2207/30041
Inventors
苑玮琦; 朱立军