Abstract: A pixel structure, an array substrate, a display device and a method for driving the display device are provided. The pixel structure includes a plurality of pixel units, each including two rows of subpixels, each row of which includes a monochrome subpixel and a white subpixel, the monochrome subpixel being any one selected from a first monochrome subpixel, a second monochrome subpixel and a third monochrome subpixel and colors of two monochrome subpixels in each pixel unit being different, wherein monochrome subpixels in each row or column are arranged periodically in an order of a first, second and third monochrome subpixel, colors of the first monochrome subpixel, the second monochrome subpixel and the third monochrome subpixel are different from each other, and monochromatic light beams emitted by the first monochrome subpixel, the second monochrome subpixel and the third monochrome subpixel are capable of being mixed into white light.

Abstract: This present disclosure provides a sensing cable of parallel spiral transmission line structure for distributed sensing and measuring of rock-soil mass deformation. A circular cross-section of a silicone strip is tightly wounded by two mutually-insulated wires. The two mutually-insulated wires form the spiral cable. The two mutually-insulated wires are wrapped around and covered by a silicone shroud. They constitute a sensing cable. A termination matching impedance is connected to one end of each of the two mutually-insulated wires. A time domain reflectometry measurement instrument is connected to the other end of the two mutually-insulated wires. The present disclosure implements a distributed positioning and measurement of rock-soil mass deformation.

Abstract: This present disclosure provides a sensing cable of parallel spiral transmission line structure for distributed sensing and measuring of rock-soil mass deformation. A circular cross-section of a silicone strip is tightly wounded by two mutually-insulated wires. The two mutually-insulated wires form the spiral cable. The two mutually-insulated wires are wrapped around and covered by a silicone shroud. They constitute a sensing cable. A termination matching impedance is connected to one end of each of the two mutually-insulated wires. A time domain reflectometry measurement instrument is connected to the other end of the two mutually-insulated wires. The present disclosure implements a distributed positioning and measurement of rock-soil mass deformation.

Abstract: A method of automatic white balance for an image capture system is disclosed. The automatic white balance mechanism ascertains the illuminant source of an image by analyzing the number of white pixels within a predefined white area in a color space diagram. The automatic white balance mechanism also determines gain adjustments based on the evaluating the average RGB values to achieve white balance.

Abstract: A method of automatic white balance for an image capture system is disclosed. The automatic white balance mechanism ascertains the illuminant source of an image by analyzing the number of white pixels within a predefined white area in a color space diagram. The automatic white balance mechanism also determines gain adjustments based on the evaluating the average RGB values to achieve white balance.

Abstract: A method of automatic white balance for an image capture system is disclosed. The automatic white balance mechanism ascertains the illuminant source of an image by analyzing the number of white pixels within a predefined white area in a color space diagram. The automatic white balance mechanism also determines gain adjustments based on the evaluating the average RGB values to achieve white balance.

Abstract: A method of automatic white balance for an image capture system is disclosed. The automatic white balance mechanism ascertains the illuminant source of an image by analyzing the number of white pixels within a predefined white area in a color space diagram. The automatic white balance mechanism also determines gain adjustments based on the evaluating the average RGB values to achieve white balance.

Abstract: A method of automatic white balance for an image capture system is disclosed. The automatic white balance mechanism ascertains the illuminant source of an image by analyzing the number of white pixels within a predefined white area in a color space diagram. The automatic white balance mechanism also determines gain adjustments based on the evaluating the average RGB values to achieve white balance.

Abstract: A method of automatic white balance for an image capture system is disclosed. The automatic white balance mechanism ascertains the illuminant source of an image by analyzing the number of white pixels within a predefined white area in a color space diagram. The automatic white balance mechanism also determines gain adjustments based on the evaluating the average RGB values to achieve white balance.

Abstract: A method of automatic white balance for an image capture system is disclosed. The automatic white balance mechanism ascertains the illuminant source of an image by analyzing the number of white pixels within a predefined white area in a color space diagram. The automatic white balance mechanism also determines gain adjustments based on the evaluating the average RGB values to achieve white balance.

Abstract: A method of automatic white balance for an image capture system is disclosed. The automatic white balance mechanism ascertains the illuminant source of an image by analyzing the number of white pixels within a predefined white area in a color space diagram. The automatic white balance mechanism also determines gain adjustments based on the evaluating the average RGB values to achieve white balance.

Abstract: A method of automatic white balance for an image capture system is disclosed. The automatic white balance mechanism ascertains the illuminant source of an image by analyzing the number of white pixels within a predefined white area in a color space diagram. The automatic white balance mechanism also determines gain adjustments based on the evaluating the average RGB values to achieve white balance.

Abstract: A method of automatic white balance for an image capture system is disclosed. The automatic white balance mechanism ascertains the illuminant source of an image by analyzing the number of white pixels within a predefined white area in a color space diagram. The automatic white balance mechanism also determines gain adjustments based on the evaluating the average RGB values to achieve white balance.

Abstract: A method of automatic white balance for an image capture system is disclosed. The automatic white balance mechanism ascertains the illuminant source of an image by analyzing the number of white pixels within a predefined white area in a color space diagram. The automatic white balance mechanism also determines gain adjustments based on the evaluating the average RGB values to achieve white balance.

Abstract: A method of automatic white balance for an image capture system is disclosed. The automatic white balance mechanism ascertains the illuminant source of an image by analyzing the number of white pixels within a predefined white area in a color space diagram. The automatic white balance mechanism also determines gain adjustments based on the evaluating the average RGB values to achieve white balance.

Abstract: A method of automatic white balance for an image capture system is disclosed. The automatic white balance mechanism ascertains the illuminant source of an image by analyzing the number of white pixels within a predefined white area in a color space diagram. The automatic white balance mechanism also determines gain adjustments based on the evaluating the average RGB values to achieve white balance.

Abstract: A method of determining a movement vector between two images is disclosed. The method comprises capturing a first image using a sensor array. Next, a first feature set is extracted from the first image. A second image subsequent in time from the first image is captured. Similarly, a second feature set is extracted from the second image. The first feature set is compared to the second feature set to determine a shift in position of the second image relative to the first image. Finally, the movement vector is output based upon the shift in position.

Abstract: A method of determining a movement vector between two images is disclosed. The method comprises capturing a first image using a sensor array. Next, a first feature set is extracted from the first image. A second image subsequent in time from the first image is captured. Similarly, a second feature set is extracted from the second image. The first feature set is compared to the second feature set to determine a shift in position of the second image relative to the first image. Finally, the movement vector is output based upon the shift in position.