Contour detection and model generation method

Abstract

The invention discloses a contour detection and model generation method. The method includes step S1 of using an external magnetic field source to drag a capsule to move in one direction on the uppersurface of a detection area, and transmitting data measured by a sensor inside the capsule in real time; step S2 of judging whether the boundary of the detection area is reached through the capsule posture detected by the sensor and the magnetic field change at the capsule position during dragging; step S3 of calculating and recording a space position point of the capsule reaching the boundary ofthe detection area according to data measured by the sensor and sent by the capsule in real time; step S4 of repeatedly executing step S1-S3, and obtaining a plurality of groups of capsule space position points satisfying the boundary condition of the detection area; and step S5 of performing trajectory connection of the effective capsule space position points, to obtain complete detection area contour data.

Description

technical field [0001] The invention relates to the field of automatic control of medical equipment, in particular to a contour detection and model generation method. In addition, the present invention is also applicable not only in the field of medical devices and capsule endoscopy, but also in other aspects that require detection equipment to detect the internal contours of non-direct vision spaces and model construction, such as the detection of stasis in closed tanks. Background technique [0002] In the capsule endoscope application on the market, the actual model measurement has not been introduced into the detection process, so the doctor has no position reference when controlling the active capsule, resulting in low detection efficiency. [0003] Although the existing tomography technology has high precision, it will cause damage to the human body to a certain extent, and the cost remains high. [0004] If there is a low-cost detection technology with suitable detec...

AI Technical Summary

Problems solved by technology

[0002] In the capsule endoscope application on the market, the actual model measurement has not been introduced into the detection process, so the doctor has no position reference when controlling the active capsule, resulting in low detection efficiency

[0003] Although the existing tomography technology has high precision, it will cause a certain degree of damage to the human body, and the cost remains high.

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