Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Slit-lamp anterior segment sectional image feature extraction method

A technology of tomographic image and feature extraction, which is applied in the field of ophthalmology medical image processing, can solve problems such as insurmountable speed, and achieve the effect of overcoming slow speed and real-time extraction

Inactive Publication Date: 2018-08-31
WENZHOU OPTOMETRY & OPHTHALMOLOGY DEV
View PDF5 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the existing technology, the horizontal calculation method is often used for the whole image, which cannot overcome the bottleneck of slow speed

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Slit-lamp anterior segment sectional image feature extraction method
  • Slit-lamp anterior segment sectional image feature extraction method
  • Slit-lamp anterior segment sectional image feature extraction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] figure 1 One embodiment of the invention is shown. In this embodiment, the flow of the feature extraction method of the anterior segment tomographic image of the slit lamp is: first collect the anterior segment tomographic image with the slit lamp, input the collected image into the computer, and save it as a file format with a low compression rate, such as bmp Or jpeg format to ensure that the image has more local details, and these images can be of the same resolution or different resolutions. Obtain color images of the anterior segment.

[0021] Then the anterior segment color image is converted into color space, so that the color distribution distance of cornea, iris and lens is maximized in the converted image. Then perform multi-threshold binarization to distinguish the corneal potential area, iris potential area and lens potential area, and then use the blob shape analysis to remove the noise and interference areas of the cornea potential area, iris potential a...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a slit-lamp anterior segment sectional image feature extraction method comprising the following steps: 1, using a slit-lamp to gather an anterior segment sectional image so asto obtain an anterior segment color image; 2, carrying out color space transformation for the anterior segment color image, carrying out multi-threshold binary, distinguishing cornea, iris and crystalline lens latent areas, and respectively using blob shape analysis to obtain the cornea, iris and crystalline lens areas; 3, using morphological operation to carry out hole filing and expansion process for the cornea, iris and crystalline lens areas; 4, using a level set algorithm to track the boundaries, precisely tracking surface boundaries of each part of the anterior segment, and finding the anterior segment. The method solves the problems that the level set algorithm is slow in speed when applied in the whole image, can realize real time extraction and analysis of the anterior segment sectional image features, thus providing reliable basis data for solving anterior segment clinic parameters.

Description

technical field [0001] The invention relates to an ophthalmic medical image processing method, in particular to a slit lamp anterior segment image feature extraction method. Background technique [0002] The anterior segment is a part of the eyeball, specifically including: the entire cornea, iris, ciliary body, anterior chamber, posterior chamber, lens suspensory ligament, chamber angle, part of the lens, peripheral vitreous, retina and extraocular muscle attachment points and conjunctiva, etc. [0003] In recent years, the medical imaging technology of ophthalmology has developed rapidly, enabling ophthalmologists to observe the eyes more directly and clearly, and the diagnosis rate is also higher. Computer-aided diagnosis technology mainly studies how to effectively process these ophthalmic medical image information through image processing technology, assisting ophthalmologists in diagnosis and even operation planning, which has great social benefits and broad applicatio...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/13G06T7/155G06T7/11G06T7/136
CPCG06T2207/10024G06T2207/30041G06T7/11G06T7/13G06T7/136G06T7/155
Inventor 陈浩胡亮于航
Owner WENZHOU OPTOMETRY & OPHTHALMOLOGY DEV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products