Abstract: The present invention discloses a method for infrared small target detection based on a depth map in a complex scene, and belongs to the field of target detection. An infrared image is collected, the image is binarized by using priori knowledge of a to-be-detected target and adopting a pixel value method, the binary image is further limited based on deep priori knowledge, then static and dynamic scoring strategies are formulated to score a candidate connected component in the morphologically processed image, and an infrared small target in a complex scene is detected finally. The method can screen out targets within a specific range, has high reliability; has strong robustness; is simple in program and easy to implement, can be used in sea, land, and air, and has a significant advantage under a complex jungle background.

Abstract: The present invention discloses a method for fully automatically detecting chessboard corner points, and belongs to the field of image processing and computer vision. Full automatic detection of chessboard corner points is completed by setting one or a plurality of marks with colors or certain shapes on a chessboard to mark an initial position, shooting an image and conducting corresponding processing, using a homography matrix H calculated by initial pixel coordinates of a unit grid in a pixel coordinate system and manually set world coordinates in a world coordinate system to expand outwards, and finally spreading to the whole chessboard region.

Abstract: The present invention discloses a method for adaptively detecting chessboard sub-pixel level corner points. Adaptive detection of chessboard sub-pixel level corner points is completed by marking position of an initial unit grid on a chessboard, using a homography matrix H calculated by pixel coordinates of four corner points of the initial unit grid in a pixel coordinate system and world coordinates in a world coordinate system to expand outwards, adaptively adjusting size of an iteration window in the process of expanding outwards, and finally spreading to the whole chessboard region.

Abstract: The present invention discloses a method for adaptively detecting chessboard sub-pixel level corner points. Adaptive detection of chessboard sub-pixel level corner points is completed by marking position of an initial unit grid on a chessboard, using a homography matrix H calculated by pixel coordinates of four corner points of the initial unit grid in a pixel coordinate system and world coordinates in a world coordinate system to expand outwards, adaptively adjusting size of an iteration window in the process of expanding outwards, and finally spreading to the whole chessboard region.

Abstract: The present invention discloses a method for infrared small target detection based on a depth map in a complex scene, and belongs to the field of target detection. An infrared image is collected, the image is binarized by using priori knowledge of a to-be-detected target and adopting a pixel value method, the binary image is further limited based on deep priori knowledge, then static and dynamic scoring strategies are formulated to score a candidate connected component in the morphologically processed image, and an infrared small target in a complex scene is detected finally. The method can screen out targets within a specific range, has high reliability; has strong robustness; is simple in program and easy to implement, can be used in sea, land, and air, and has a significant advantage under a complex jungle background.

Abstract: The present invention discloses a method for fully automatically detecting chessboard corner points, and belongs to the field of image processing and computer vision. Full automatic detection of chessboard corner points is completed by setting one or a plurality of marks with colors or certain shapes on a chessboard to mark an initial position, shooting an image and conducting corresponding processing, using a homography matrix H calculated by initial pixel coordinates of a unit grid in a pixel coordinate system and manually set world coordinates in a world coordinate system to expand outwards, and finally spreading to the whole chessboard region.

Abstract: Embodiments of the present invention provide a communications method and device for a single-frequency WLAN. An AP monitors a CTS or RTS packet whose receiver or sender is a neighboring AP inside the single-frequency WLAN; and when a CTS or RTS packet whose receiver or sender is a neighboring AP inside the single-frequency WLAN is detected, a channel in a coverage direction of the AP is cleared. Multiple APs in the single-frequency WLAN form one “omnidirectional group”. When any of the APs in the “omnidirectional group” performs RTS/CTS exchange with a STA inside a coverage area of the AP, neighboring APs can also work cooperatively, channels in coverage directions of the neighboring APs are cleared, and data communication in the coverage directions of the neighboring APs is suspended, thereby effectively avoiding network conflicts, and improving network performance of the single-frequency WLAN.

Abstract: Embodiments of the present invention provide a communications method and device for a single-frequency WLAN. An AP monitors a CTS or RTS packet whose receiver or sender is a neighboring AP inside the single-frequency WLAN; and when a CTS or RTS packet whose receiver or sender is a neighboring AP inside the single-frequency WLAN is detected, a channel in a coverage direction of the AP is cleared. Multiple APs in the single-frequency WLAN form one “omnidirectional group”. When any of the APs in the “omnidirectional group” performs RTS/CTS exchange with a STA inside a coverage area of the AP, neighboring APs can also work cooperatively, channels in coverage directions of the neighboring APs are cleared, and data communication in the coverage directions of the neighboring APs is suspended, thereby effectively avoiding network conflicts, and improving network performance of the single-frequency WLAN.