Object contour extraction method and system and object contour prediction method and system

Abstract

The invention discloses an object contour extraction method. The method comprises the steps of acquiring the absolute temperature of an object to form a thermodynamic diagram; linearly constraining the thermodynamic diagram temperature to a first preset real number range to form a thermodynamic diagram real number matrix; converting the thermodynamic real number graph matrix into a grey-scale graph matrix; converting the grey-scale map matrix into a binarized grey-scale map matrix in a second preset real number range; filtering noise points of the binarized grey-scale map matrix; converting the binary grayscale image matrix into a binary image in a first preset real number range; extracting all contours in the binary image, and simultaneously generating a contour hierarchy table which is used for representing an inclusion relation between the image contours; eliminating all inner contours through the contour hierarchy table to acquire a frame of measurement peripheral contour set. Theinvention further discloses an object contour extraction system, an object contour prediction method and an object contour prediction system. According to the invention, all contours in the blurred thermal image can be accurately extracted or predicted, and the contour information acquisition precision in the blurred thermal image is improved.

Description

technical field [0001] The invention relates to the field of image processing and analysis, in particular to an object outline extraction method based on a temperature image and an object outline extraction system based on a temperature image. The present invention also relates to an object contour prediction method or system based on the object contour extraction method or system. Background technique [0002] The current infrared temperature sensors are divided into two forms: one is to collect single-value temperature values, which are generally used for simple hand-held body temperature detectors and simple equipment temperature detection. The application of this infrared temperature sensor is to analyze the specific temperature after collecting the temperature image. The other is a high-end sensor that can output a temperature matrix. The general applications are personnel detection, fire detection, building automation, lighting control, surveillance systems, etc. The...

AI Technical Summary

Problems solved by technology

The application of this kind of infrared temperature sensor is through image fusion with the image data collected by the traditional camera to visualize the temperature distribution of the object. This kind of application is widely used in the thermal map analysis of industrial equipment; the image information is collected by the camera, and then processed by the image Obtaining or outputting information is the traditional way to obtain environmental information, but what is obtained from the camera is essentially an RGB color gamut map. If you need to obtain the corresponding temperature distribution, you need to add a temperature sensor to obtain the temperature map. After two or fusion to obtain the temperature distribution of the image

[0003] One of the characteristics of the above application is that temperature information is the core, and the required output information is also temperature. The problems to be dealt with are relatively concentrated. At present, there is no related technology for direct and accurate extraction of contour information based on fuzzy thermal maps.

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