Real-time centre detection of an OLED structure

Abstract. The research presented in this paper focuses on real-time image processing for visual servoing, i.e. the positioning of a x-y table by using a camera only instead of encoders. A camera image stream plus real-time image processing determines the position in the next iteration of the table controller. With a frame rate of 1000 fps, a maximum processing time of only 1 millisecond is allowed for each image of 80x80 pixels. This visual servoing task is performed on an OLED (Organic Light Emitting Diode) substrate that can be found in displays, with a typical size of 100 by 200 µm. The presented algorithm detects the center of an OLED well with sub-pixel accuracy (1 pixel equals 4 µm, sub-pixel accuracy reliable up to ±1 µm) and a computation time less than 1 millisecond

Real-time centre detection of an OLED structure

The research presented in this paper focuses on real-time image processing for visual servoing, i.e. the positioning of a x-y table by using a camera only instead of encoders. A camera image stream plus real-time image processing determines the position in the next iteration of the table controller. With a frame rate of 1000 fps, a maximum processing time of only 1 millisecond is allowed for each image of 80x80 pixels. This visual servoing task is performed on an OLED (Organic Light Emitting Diode) substrate that can be found in displays, with a typical size of 100 by 200 µm. The presented algorithm detects the center of an OLED well with sub-pixel accuracy (1 pixel equals 4 µm, sub-pixel accuracy reliable up to ±1 µm) and a computation time less than 1 millisecond

Real-Time Center Detection of an OLED Structure

The research presented in this paper focuses on real-time image processing for visual servoing, i.e. the positioning of a x-y table by using a camera only instead of encoders. A camera image stream plus real-time image processing determines the position in the next iteration of the table controller. With a frame rate of 1000 fps, a maximum processing time of only 1 millisecond is allowed for each image of 80x80 pixels. This visual servoing task is performed on an OLED (Organic Light Emitting Diode) substrate that can be found in displays, with a typical size of 100 by 200 µm. The presented algorithm detects the center of an OLED well with sub-pixel accuracy (1 pixel equals 4 µm, sub-pixel accuracy reliable up to ±1 µm) and a computation time less than 1 millisecond. © 2009 Springer Berlin Heidelberg

Real-Time Center Detection of an OLED Structure

Abstract. The research presented in this paper focuses on real-time image processing for visual servoing, i.e. the positioning of a x-y table by using a camera only instead of encoders. A camera image stream plus real-time image processing determines the position in the next iteration of the table controller. With a frame rate of 1000 fps, a maximum processing time of only 1 millisecond is allowed for each image of 80x80 pixels. This visual servoing task is performed on an OLED (Organic Light Emitting Diode) substrate that can be found in displays, with a typical size of 100 by 200 µm. The presented algorithm detects the center of an OLED well with sub-pixel accuracy (1 pixel equals 4 µm, sub-pixel accuracy reliable up to ±1 µm) and a computation time less than 1 millisecond