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A feature extraction and tracking algorithm of nystagmus signals for diagnosis of vestibular system diseases

A technology of signal characteristics and tracking algorithms, applied in computing, image data processing, instruments, etc., to meet clinical real-time requirements, eliminate deviations, and improve image computing speed

Inactive Publication Date: 2019-01-04
南京慧视医疗科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of the above-mentioned technical problems, the object of the present invention is to propose a nystagmus signal feature extraction and tracking algorithm for diagnosing vestibular system diseases, which solves the problem of quickly tracking the pupil center, and the identification is accurate and meets the clinical requirements

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  • A feature extraction and tracking algorithm of nystagmus signals for diagnosis of vestibular system diseases
  • A feature extraction and tracking algorithm of nystagmus signals for diagnosis of vestibular system diseases
  • A feature extraction and tracking algorithm of nystagmus signals for diagnosis of vestibular system diseases

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Embodiment Construction

[0046] The present invention is described below in conjunction with accompanying drawing.

[0047] The flow chart of the present invention is as figure 1 As shown, there are five steps:

[0048] Step 1: The original image of nystagmus is as follows figure 2 As shown in , the nystagmus image is reconstructed and opened to remove the flare, and the processed image is shown as image 3 shown.

[0049] Execute Step 2: From image 3 It is still seen that there are some eyelashes, so continue to change the bottom hat and top hat of the image to enhance the pupil area. The processed image is as follows Figure 4 shown.

[0050] Step 3: Use the pupil center search method to fit the pupil edge, the processed image is as follows Figure 5 shown.

[0051]Step 4: Input multiple frames of nystagmus images, repeat steps 1 to 3 to obtain the pupil center of multiple frames of images, record the coordinates of the pupil center, and track the pupil center. The tracking waveform is as f...

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Abstract

The invention discloses a nystagmus signal feature extraction and tracking algorithm for diagnosing diseases of a vestibular system, in particular to a video image processing method and a target locating and tracking method, which are accurate in identification and meet clinical requirements. The invention comprises the following steps: 1, reconstructing the opening and closing operation to removethe light spot; 2, the change of the top cap and the bottom cap enhancing the pupil area; 3, positioning the center of pupil; 4, pupil cent tracking; 5, closing the eyes to detect and track the waveform to remove interference. The reconstruction opening operation and the image enhancement method proposed by the invention can effectively preprocess the nystagmus image and accurately extract the pupil of the nystagmus image; the proposed method not only has high recognition accuracy, but also improves the speed of image computation and meets the clinical real-time requirements. In addition, theinvention performs eye-closing detection on nystagmus images and removes nystagmus signal interference, thereby eliminating large deviation and providing reliable basis for subsequent nystagmus signal analysis and research.

Description

technical field [0001] The invention relates to a video image processing method and a target positioning and tracking method, in particular to a nystagmus signal feature extraction and tracking algorithm and system for diagnosing vestibular system diseases. Background technique [0002] The vestibular system is an important organ for the human body to perceive body position changes and environmental changes. It plays a key role in the body's own sense of balance and space, and is an important part of the balance system. When the body position changes, the vestibule can detect the change information of the body position and transmit it to the eyes, and produce eye movements opposite to the head rotation to maintain the stability of retinal imaging. When the vestibular system is dysfunctional, has a disease or receives excessive external stimulation, the vestibular system will send wrong body position information to the eyes, and when the human body position perceived by the v...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/62G06T7/66G06T7/73
CPCG06T7/0012G06T2207/10016G06T2207/30041G06T7/62G06T7/66G06T7/73
Inventor 李丹丹
Owner 南京慧视医疗科技有限公司
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