Wireless capsule endoscope image display method for highlighting vessel mutation and projection

Abstract

The invention discloses a display method for highlighting a vessel mutation and a projection. The wireless capsule endoscope image display method comprises steps of 1) obtaining original image data of an intestine and a stomach which is obtained by a wireless capsule endoscope, wherein the a doctor determines that blood mutation or the projection is not obvious according to the original image data of the stomach and intestine, 2) finding out a singular point which is not obvious in mutation, designing an operator mask layer for enhancing vessel mutation according to theories of image rim enhancement and image texture enhancement, and 3) using modified various parameters to perform corresponding processing on images of various parts to obtain an image highlighting the mutation part for doctors to detect according to images of various parts. The wireless capsule endoscope image display method can perform processing of highlighting the vessel mutation on the wireless endoscope image, enables the doctor to better diagnose patients and is applicable to computer medical image processing.

Description

technical field [0001] The invention relates to the field of computer image processing, in particular to a display method for highlighting vascular anomalies and protruding parts in wireless capsule endoscope images in the medical field. Background technique [0002] As an important new technology, wireless capsule endoscopy images are widely used in the diagnosis of human gastrointestinal diseases. It can reach any position in the digestive tract, overcomes the shortcomings of traditional endoscopy that cannot detect small intestinal diseases, and is non-invasive and well tolerated. Although the technology has been continuously improved with the advancement of science and technology, it still faces some difficulties in practical application. The capsule endoscope stays in the digestive tract for an average of 8 hours. During this period, its camera system will automatically capture the entire digestive tract scene, and can collect a total of 50,000 to 60,000 color digestiv...

AI Technical Summary

Problems solved by technology

And these massive image data must be manually interpreted by professional medical personnel, which is labor-intensive, inefficient, and time-consuming

Moreover, it is also possible that the lesion area is not so obvious in the pictures of the lesion area found in many images, which increases the misjudgment of the patient's condition, not only aggravates the condition, but also delays the treatment.

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