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

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...

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 wit...

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