40results about How to "Uniform gray scale" patented technology

A transflective type liquid crystal display panel and a method of fabricating the same are discussed. The transflective type liquid crystal display panel according to an embodiment comprises a gate line on a substrate; a data line crossing the gate line to define a pixel region comprised of a transmitting part and a reflective part; a thin film transistor adjacent to a crossing of the gate and data lines; a first insulation film on a passivation film covering the thin film transistor; a reflective electrode in the transmitting part of the pixel region, for reflecting incident light; a pixel electrode formed on a second insulation film covering the reflective electrode, and connected to a drain electrode of the thin film transistor via a contact hole; and a coupling capacitor for matching a reflective curve of the reflective part with a transmitting curve of the transmitting part.

The invention relates to a method and a system for extracting field image edges of plant leaves. The method comprises the following steps of: 1, smoothing and denoising a subimage in a partition area adjacent to an area containing a single leaf serving as a target image; 2, performing area-based threshold partition and gradient-based edge detection partition on the image processed by the step 1, and performing initial optimization to acquire an inner template of a target area; 3, judging whether the target area of the image processed by the step 2 is a leaf image or not, if so, executing the step 4, and otherwise, performing grayscale mapping and morphological reconstruction on the image processed by the step 1, and executing the step 2; and 4, performing operation of adhesion disconnection, false edge removal and closure on the image processed by the step 2 to obtain the edge image with a closed edge. The method and the system improve the accuracy and integrality of the extraction of the field image edges, which have non-uniform grayscale, of the plant leaves.

The invention relates to the technical field of machine vision detection, and discloses a method of uniformly optimizing an illuminating LED array light source for strip steel surface detection. Camera parameters are used for calculating a strip steel surface illumination reference value, the illumination reference value and a target gray illumination reference value are compared, and the size of the light source is calculated according to field space requirements; and on the basis of the above illumination values and the light source size, intensity distribution and uniformity of the overall light source illumination are decided by the size of an LED array interval, the LED array is optimized, and then, an LED light source structure which can meet field actual requirements can be obtained. According to the uniform optimizing method of the invention, the light source can have a compact structure, the area of the uniform illumination is large, and a detected object image with a uniform gray can then be acquired.

The invention belongs to the technical field of side-scan sonar image enhancement algorithms, and relates to a side-scan sonar image statistical enhancement algorithm based on boundary constraint. The algorithm is mainly suitable for a side-scan image with relatively consistent background field image reflection intensity in a unified area, an original image representation function is made through original image statistical analysis, a corrected image is obtained by constructing a feature correction function, the overall pixel of the corrected image is stretched through a linear stretching function, and the image reflection intensity of the background field image is relatively consistent. And a representation function of the stretched image is solved, and the corrected image is adjusted and corrected through boundary condition constraints, so that a high-quality image is finally obtained. According to the algorithm, the longitudinal statistical law of the side-scan sonar is used as a constraint condition, gray balance can be carried out on the side-scan sonar image, and the situation that the gain effect of a traditional gain method on part of images is poor can be eliminated.

The embodiment of the invention discloses a mammary gland image processing method and a mammary gland imaging device. The method includes: obtaining an original scanning image, and obtaining a low-frequency image and a high-frequency image according to the original scanning image; determining gray-scale transformation parameters according to the gray-scale distribution of glands and fat of the low-frequency breast image corresponding to the low-frequency image; Perform grayscale transformation on the low-frequency image according to the grayscale transformation parameters to obtain a target low-frequency image after thickness equalization, and reconstruct the target low-frequency image and the high-frequency image to generate a target image. Through the above technical solution, the problem that breast image processing is too dependent on empirical parameters and its equalization effect is not good is solved, and the automation of breast image thickness equalization is realized to a certain extent, and breast images with more uniform gray scale distribution can be obtained, thereby Make breast images more in line with clinical needs.

The invention relates to an array substrate for a display device and to a method for manufacturing an array substrate comprising a thin-film transistor (“TFT”). An array substrate according to an embodiment of the invention comprises a source electrode, a gate electrode and a drain electrode, wherein the gate electrode is located on a first metal layer, the source electrode and the drain electrode are located on a second metal layer, and in the case that dislocation occurs between the first metal layer and the second metal layer, the area of the overlapping region between the source electrode and the gate electrode keeps constant.

Embodiments of the invention disclose a method and a device for processing mammary gland images, and a mammary gland imaging device. The method comprises: obtaining an original scanned image, according to the original scanned image, obtaining a low-frequency image and a high-frequency image; according to mammary gland width, mammary gland oppressed thickness, and gray level transformation distance, determining a model, determining a gray level transformation region of the low-frequency image; performing gray level transformation on the gray level transformation region, obtaining a target low-frequency image after thickness equilibrium, and reconstructing the target low-frequency image and the high-frequency image, to generate a target image. Through the above technical scheme, the gray level transformation region which needs thickness equilibrium in the mammary gland image is realized to be accurately and automatically obtained, so as to obtain a mammary gland image whose gray level distribution is more uniform, and achieve better mammary gland image thickness equalization effect.

The invention relates to an industrial vision inspection technology, and discloses a method and device for imaging a non-uniform velocity moving object by a TDI (Time Delayed Integration) CCD (Charge Coupled Device). Speed signals measured by a rotary encoder connected with a measured moving object are divided into two paths which are respectively transmitted to a light source illuminance controller and a camera flipping frequency controller, the light source illuminance controller is used for controlling the illuminance of the light source, the camera flipping frequency controller is used for controlling the exposure of the TDI CCD, the line sweeping speed rate of the CCD and the movement speed rate of the measured object are the same so as to complete the imaging of the measured object. The light source illuminance controller converts pulse frequency signals into voltage signals, the voltage signals control a constant current source so as to further output current to an LED (Light Emitting Diode) light source, so that the illuminance of the light source is adjusted. According to the method and the device, the measured object can be clearly imaged and an image with a uniform gray level can be obtained under the condition of non-uniform movement.

The invention discloses a seeker aiming and positioning method and an aiming and positioning system, wherein the method comprises: sending laser light through the optical window of the seeker into the optical system; receiving the cat's eye echo signal returned by the optical system, After the axial compression unit compresses the field of view, it enters the photodetection imaging unit for imaging and outputs to the signal processing unit; wherein, by controlling the working sequence of the laser and the photodetection imaging unit, the original images of two adjacent frames formed by the photodetection imaging unit Corresponding to the emission state and non-emission state of the laser, respectively, to obtain the difference image of two adjacent frames, and output it to the signal processing unit; the signal processing unit uses the centroid capture algorithm to calculate the difference image, and obtains the gray value centroid of the difference image position, output target information. The present invention has a compact overall structure, and can output target position information whose accuracy is higher than that of a single pixel by improving the working mode and calculation method.