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

Method for determining automatic detection threshold of bad pixel of medical image

An automatic detection and medical image technology, applied in the field of medical image processing, can solve problems such as not involving, setting detection thresholds, etc.

Inactive Publication Date: 2005-03-16
PHILIPS & NEUSOFT MEDICAL SYST
View PDF2 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

U.S. patent "Automatic identification and correction of bad pixels in a large area solid state x-ray detector" (U.S.Pat.No.5, 657,400), "Defective pixel detection circuit of a solid state image pick-up device capable of Detecting defective pixels with low power consumption and high precision, and image pick-up device having such detection circuit”(U.S.Pat.No.5,854,655), although it is proposed to use the detection threshold for dead pixel detection, it does not involve how to set the detection threshold

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
  • Method for determining automatic detection threshold of bad pixel of medical image
  • Method for determining automatic detection threshold of bad pixel of medical image
  • Method for determining automatic detection threshold of bad pixel of medical image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

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 is a confirming method for medical image bad dots automatic detection threshold. The invention detects the bad dot with formula alpha(x, y) = (grav(x, y)-avg(x, y)) / avg(x, y) and I median= Median (I original), I (x, y) =| I median - I original|, the automatic checking threshold of bad dot includes: collecting detection image, threshold detection, video detection, and detection threshold definition. It is a process method combining threshold detection and video detection. The method is simple, upgrades the detection speed, and guarantees the high accuracy.

Description

technical field The method of the invention belongs to the technical field of medical image processing, and in particular relates to a method for determining an automatic detection threshold of dead pixels in medical images. Background technique The bad pixels in the imaging system of digital X-ray machines generally refer to the pixels with abnormal gray value, which usually appear as "bright spots" or "dark spots" relative to the background. "Bright spot" refers to the pixel whose image grayscale is significantly larger than the average grayscale of the neighborhood, and "dark spot" refers to the pixel whose grayscale is obviously smaller than the average grayscale of the neighborhood. At present, visual inspection is a relatively accurate method for detecting dead pixels, but for a 1024*1024 image, a total of 1024 visual inspections are required to display one row of data each time. Too many manual inspections are not conducive to improving work efficiency. . And the m...

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
IPC IPC(8): H04N5/217
Inventor 杨晨辉
Owner PHILIPS & NEUSOFT MEDICAL SYST
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