This paper devoted to propose template match object detection for inertial navigation systems (INS). The proposed method is an image processing technique to improve the precision of the INS for detecting and tracking ...This paper devoted to propose template match object detection for inertial navigation systems (INS). The proposed method is an image processing technique to improve the precision of the INS for detecting and tracking the ground objects from flying vehicles. Template matching is one of the methods used for ground object detection and tracking. Robust and reliable object detection is a critical step of object recognition. This paper presents a proposed mathematical morphological template matching method for detection and tracking of ground objects. Our focus is on flying systems equipped with camera to capture photos for the ground and recognize it. The proposed method is independent on the altitude or the orientation of the object. The algorithm is simulated using Matlab program and the numerical experiments are shown which verify the object detection for a wide range altitude and orientation. The results show superiority of this method for identifying and recognizing the ground objects.展开更多
In this paper a simple scheme for optical implementation of human-face recognition with only an incoherent optical correlator is presented. The system uses complementary-encoding hit-or-miss transform method to improv...In this paper a simple scheme for optical implementation of human-face recognition with only an incoherent optical correlator is presented. The system uses complementary-encoding hit-or-miss transform method to improve the performance of the standard correlator. According to this method, a compact optical system for human-face optical recognition is bult up. In the face library 200 photographs are stored and the recognition speed of the system is 10 frames per second. The accuracy of recognition is more than 90 percent. The system has good fault-tolerance ability for the pictures with rotation distortion, Gauss noise disturbance or information losing.展开更多
文摘This paper devoted to propose template match object detection for inertial navigation systems (INS). The proposed method is an image processing technique to improve the precision of the INS for detecting and tracking the ground objects from flying vehicles. Template matching is one of the methods used for ground object detection and tracking. Robust and reliable object detection is a critical step of object recognition. This paper presents a proposed mathematical morphological template matching method for detection and tracking of ground objects. Our focus is on flying systems equipped with camera to capture photos for the ground and recognize it. The proposed method is independent on the altitude or the orientation of the object. The algorithm is simulated using Matlab program and the numerical experiments are shown which verify the object detection for a wide range altitude and orientation. The results show superiority of this method for identifying and recognizing the ground objects.
基金Supported by the High Technology Research and Development Programme of ChinaCao Guangbiao High Technology Foundation
文摘In this paper a simple scheme for optical implementation of human-face recognition with only an incoherent optical correlator is presented. The system uses complementary-encoding hit-or-miss transform method to improve the performance of the standard correlator. According to this method, a compact optical system for human-face optical recognition is bult up. In the face library 200 photographs are stored and the recognition speed of the system is 10 frames per second. The accuracy of recognition is more than 90 percent. The system has good fault-tolerance ability for the pictures with rotation distortion, Gauss noise disturbance or information losing.
