12 results about "Gray level" patented technology

A data driver using a gamma selecting signal, a flat panel display with the same and a driving method therefor are provided. A first to a fourth data lines are electrically connected to a first left sub-pixel, a first right sub-pixel, a second right sub-pixel and a second left sub-pixel, respectively. The data driver includes a first, a second, a third and a fourth gray level generating units for outputting a first set of positive gray voltage, a second set of negative gray voltage, a second set of positive gray voltage and a first set of negative gray voltage, respectively. The data driver drivers these sub-pixels according to the first set of positive gray voltage, the second set of negative gray voltage, the second set of positive gray voltage and the first set of negative gray voltage under the control of a polarity inversion signal and a gamma selecting signal.

To solve the problem that errors generated in solving an infrared cloud image eyed typhoon two-dimensional surface wind field through ordinarily used algorithms are large, the invention provides a method for performing inversion on an eyed typhoon two-dimensional surface wind field by combination with novel algorithms of an SVM and a PDE. The method comprises the steps of first performing typhoon eye wall extraction on an infrared cloud image provided by a weather bureau by combination with the PDE algorithm, obtaining coordinate values and gray levels of every point of an eye wall, utilizing the SVM to perform modeling of the average gray level and the maximum wind speed of a typhoon close to the center, finally performing eye wall segmentation on the randomly given infrared cloud image, extracting reference point gray levels to serve as a model to perform input to obtain the reference point wind speed, and utilizing a linear interpolation to perform inversion of the whole two-dimensional surface wind field. According to experiments, the average error obtained through the method is 2.9m/s, the performance is better that that of a linear regression method and a radial basis neural network method, and a powerful basis is provided for typhoon intensity forecast.

The invention discloses a gray-scale brightness curve correction system and method. The method comprises the following steps that an environmental light brightness background value scattered by a displayer is acquired by utilizing a brightness measurement module through the environmental conditions so that the maximum and minimum gray-scale brightness of the displayer under environmental light is measured and standard gray-scale display output is calculated, a nonstandard DICOM curve imported to the displayer can be calculated by removing environmental light brightness, and curve output of different environmental conditions is judged and scheduled through output of an environmental light sensor. The curve meeting the standard requirements can still be measured at the observation end of the medical professional displayer under the influence of environmental light so that image distinguishing capability of doctors can be enhanced.

A medical image inclination correction method based on a B spline is provided. The method comprises the steps of acquiring the medical image to be corrected, and performing binarization processing onthe medical image to be corrected to obtain a binary medical image; carrying out edge detection on the binary medical image according to the B spline gradient operator, and obtaining a binary edge image; calculating the bounding box of the edge image to obtain the actual size of the edge image, and then capturing the sub-image of the medical image to be corrected according to the actual size of the edge image; calculating the mass center of the sub-image and the normalized center moment to obtain a rotation angle; reversely rotating the medical image to be corrected according to the rotation angle to obtain the corrected medical image, so that the correction of the inclination image with uneven gray level can be realized.

A method for generating a gamma table is provided. The method is applied to a display, and the display obtains n-bit corrected gray levels [y(1), . . . , y(2^m)] from m-bit original gray levels [x(1), . . . , x(2^m)] by using the gamma table, wherein m and n are positive integers. The method comprises calculating the corrected gray levels [y(1), . . . , y(2^m)] corresponding to the original gray levels [x(1) , . . . , x(2^m)] according to a gamma curve; and successively calculating differences of two adjacent corrected gray levels (y(i+1)−y(i)) and recording the differences as a plurality of gamma reference values z(i+1) (i=1˜(2m−1)) corresponding to the original gray levels x(i+1), in which the value z(1) corresponding to x(1) is y(1), in order to generate the gamma table.

The invention discloses a measurement method of a coal dust and in-furnace heat flow mixing effect on the basis of a combustion image, and belongs to the technical field of thermotechnical measurement and image processing. The method comprises the following steps: firstly, carrying out edge detection on an unburned coal powder area in the combination image through an area first order difference algorithm with a fixed search direction, determining the mixing characteristic area of the coal dust and in-furnace heat flow, and carrying out block processing and gray level stage processing on the area. In the characteristic area, a gray parameter and a gray position distribution parameter which reflect a coal dust and in-furnace heat flow mixing situation are extracted, the gray parameter and the gray position distribution parameter construct a mixing coefficient which measurably evaluates the coal dust and in-furnace heat flow mixing effect, and therefore, the measurement of the coal dust and in-furnace heat flow mixing effect can be realized.

The invention discloses a vision monitoring feedback method for face exposure 3D printing, and relates to the technical field of intelligent control and machine learning. The method comprises the steps that camera arranging position determination is conducted, specifically, the position of a camera is calculated according to the position of a face exposure projector, and the situation that monitoring is influenced by shot stray light is avoided; gray level changing curve obtaining is conducted, specifically, vision images of monitoring areas are automatically obtained at equal time intervals within the exposure time, accordingly, the equal-length image average gray level changing curve of each monitoring area is obtained, and through the experiment, forming curves generated when forming succeeds and forming curves generated when forming fails are obtained; and gray level curve recognition is conducted, specifically, the obtained successful forming curves and the obtained unsuccessful forming curves are classified through the KNN classification algorithm, testing is conducted for a classification result, the final K value in the KNN algorithm is obtained, the classification accuraterate is the highest, and the printing state is judged according to the classification result for controlling the motion of a mechanical system. By means of the vision monitoring feedback method for face exposure 3D printing, the printing material utilization rate can be increased, and the printing time is shortened.

An image sharpness method is provided. The image sharpness method includes the steps of determining a plurality of sharpness gray level increments for a current pixel in accordance with a non-linear visual function and gray level differences between the current pixel and the neighboring pixels of the current pixel, using the sum of the sharpness gray level increments as a total sharpness gray level increment, and using the sum of the total sharpness gray level increment and the gray level of the current pixel as a sharpness gray level of the current pixel.

The invention discloses a workpiece surface treatment method based on image recognition and a shot blasting machine, and relates to the field of shot blasting machines. The shot blasting machine comprises a shot blasting device, a translation device, a camera device, an image processing module and a control unit. After the shot blasting device machines a workpiece, the camera device shoots an image and transmits the shot image to the image processing module, the image processing module converts the image into a gray level image, identifies defective spots according to the gray level value of each pixel point on the gray level image and generates identification information, the identification information comprises the number of defective pixel points, the total number of the pixel points of the gray level image and coordinates of the defective pixel points, and the control unit judges whether machining is qualified or not according to the identification information and controls the shot blasting device and the translation device to conduct secondary machining on the unqualified workpiece. According to the method and the shot blasting machine, the shot blasting treatment effect can be effectively improved, the repeated loading process caused by unqualified workpieces is avoided, and the working time is saved.

The invention discloses an auxiliary positioning system based on a four-wheel omnidirectional chassis. The system comprises a plurality of paths of gray sensors and a positioning controller, wherein the four multi-path gray level sensors are installed in four horizontal directions of a robot chassis, and the angle difference between every two adjacent multi-path gray level sensors is 90 degrees. A ground line track is recognized in an AD sampling mode, and an analog voltage signal or a switching signal is formed; the multi-channel gray sensor uploads collected analog voltage signals or switching signals to the positioning controller, an algorithm for processing the analog voltage signals or the switching signals is loaded in the positioning controller, and coordinate data deviation of the robot chassis relative to ground lines is obtained after processing of the processing algorithm.