87 results about "Automatic exposure control" patented technology

An auto-exposure control is proposed for high dynamic range images, along with a neural network for exposure selection that is trained jointly, end-to-end with an object detector and an image signal processing (ISP) pipeline. Corresponding method and system for high dynamic range object detection are also provided.

The invention discloses a portable automatic focusing hyperspectral imaging system and method, and the system comprises a spectral data collection module, a spectral analysis module, a displacement platform, an inertia measurement module, and a control module. Wherein the spectral data acquisition module comprises a focusable lens, an optical splitter, a first collimating lens group and an image sensor. And the spectral analysis module is provided with an electronic shutter, a slit, a second collimating lens group, a grating, a third collimating lens group and an imaging element along the light path direction. And the displacement platform is used for driving the spectral analysis module to perform internal swing-sweeping motion. The control module executes an automatic focusing algorithm, automatic exposure control and multi-source data fusion and preprocessing. According to the invention, focusing precision and spectral data space registration precision in a complex field depth scene can be improved, exposure parameters are intelligently and adaptively adjusted, geometric distortion is compensated, unattended continuous operation is supported, invalid operation cost is reduced, and reliability and availability of hyperspectral data are improved.

An auto-exposure control is proposed for high dynamic range images, along with a neural network for exposure selection that is trained jointly, end-to-end with an object detector and an image signal processing (ISP) pipeline. Corresponding method and system for high dynamic range object detection are also provided.

An auto-exposure control is proposed for high dynamic range images, along with a neural network for exposure selection that is trained jointly, end-to-end with an object detector and an image signal processing (ISP) pipeline. Corresponding method and system for high dynamic range object detection are also provided.

The embodiment of the invention provides an automatic exposure control method and device and electronic equipment, and relates to the technical field of image processing. The method comprises the steps that when it is detected that the shooting environment of a first camera changes, the exposure parameter of the first camera is adjusted according to the first exposure adjustment amplitude, and the exposure parameter of a second camera is adjusted according to the second exposure adjustment amplitude; the second exposure adjustment amplitude is greater than the first exposure adjustment amplitude; when the brightness of a second image acquired by the second camera is in a second target brightness stable interval, determining a first exposure amount required by the first camera according to the brightness of the second image at the current moment and the exposure amount of the second camera; and according to the first exposure quantity, adjusting an exposure parameter of the first camera, so that the brightness of a first image acquired by the first camera is in a first target brightness stable interval. According to the technical scheme provided by the embodiment of the invention, the convergence speed of the exposure parameter of the first camera can be improved.

An auto-exposure control is proposed for high dynamic range images, along with a neural network for exposure selection that is trained jointly, end-to-end with an object detector and an image signal processing (ISP) pipeline. Corresponding method and system for high dynamic range object detection are also provided.

This invention provides a scene-adaptive fast automatic exposure adjustment method, comprising: S1. Acquiring a frame image and the exposure parameters of the previous frame, denoted as E_pre; S2. Calculating the average brightness Y_cur, the proportion of overexposed pixels P_sat, and the proportion of underexposed pixels P_dark of the current frame image using the current frame image; S3. Calculating the slope between the target brightness and the average brightness of the current frame, denoted as k1: k1=Y_target / Y_cur; S4. Determining whether the current brightness meets the expectation. If k1_th_dark≤k1≤k1_th_sat, where k1_th_dark is the lower limit of the k1 tolerance threshold and k1_th_sat is the upper limit of the k1 tolerance threshold, the exposure parameters remain unchanged, and the next loop is performed, returning to step S1; otherwise, if the expectation is not met, the exposure parameters are updated and the process proceeds to step S5; S5. Selecting the corresponding convergence parameters; S6. Calculating and acquiring the exposure parameters, and updating the exposure parameters. This method can quickly achieve automatic exposure control in bright, dark, or scenes with drastic brightness changes, allowing the image to converge to a reasonable brightness quickly.

Systems and techniques are described herein for image processing. For example, a computing device can determine a first exposure relationship between an exposure of a first image frame from a first camera of a multi-camera system and an exposure of a second image frame from a second camera of the multi-camera system. The multi-camera system includes a plurality of cameras (including the first camera and the second camera). The computing device can determine a second exposure relationship between an exposure of a third image frame from the first camera and an exposure of a fourth image frame from the second camera. The computing device can determine a difference between the first exposure relationship and the second exposure relationship. The computing device can apply, based on a comparison of the difference to a threshold value, first exposure statistics of the first camera to the plurality of cameras.

One or more example embodiments relates to a computer-implemented method for dose control with an automatic exposure control. The method comprises receiving a first time-course, receiving a second time-course, and receiving a cut-off dose. The method comprises determining a first weight, determining a second weight, multiplying a latest value of the first time-course with the first weight, wherein a first weighted accumulated dose is determined and multiplying a latest value of the second time-course with the second weight, wherein a second weighted accumulated dose is determined. The method comprises adding the first and the second weighted accumulated dose, wherein a weighted overall applied dose is determined, comparing the weighted overall applied dose with the cut-off dose, and providing a result of the comparison.

This invention discloses an automatic exposure control method suitable for X-ray machines, comprising the following steps: receiving a pulse signal and converting it into a square wave voltage signal; converting the square wave voltage signal into a current signal; and charging a capacitor according to the current signal to obtain a ramp voltage for exposure. According to some preferred embodiments of the invention, the pulse signal is a dose signal fed back from the ionization chamber of the automatic exposure control system. This automatic exposure control method for X-ray machines can be implemented based on basic components such as resistors, capacitors, diodes, and operational amplifiers. It requires simple components, has significant cost advantages, and is a purely analog circuit with fast response speed, low delay, and low power consumption.

A radiographic imaging system uses an automatic exposure control device configured with a default off threshold. If the radiographic imaging system includes a processor programmed to process an image by performing a scatter removal algorithm on the image, then the off threshold of the AEC is increased before a radiographic image is captured.

The application discloses a kind of automatic exposure control methods based on structured light stripe, comprising: S1, a group of four-step phase shift grating is collected, and is solved;S2, to modulation and background light are double down-sampling, eliminate oversaturated sampling value is sorted and is histogram;S3, find the modulation value and background light intensity value of the mark position on histogram;S4, according to step S3, the relationship between exposure time and background light is obtained, to find the most suitable exposure time of current frame;S5, the most suitable exposure time of current frame is compared with current frame exposure time, and output stable value;S6, set the most suitable exposure time of current frame, point cloud generation.The application solves the problem that exposure time is not adjusted for point value during camera exposure process, which leads to high or low exposure time, affecting measurement efficiency and quality.

To appropriately control an exposure condition so that a photographed image has desired brightness.SOLUTION: A photographing device includes: a photographing unit 411 that photographs an image while moving; an exposure condition control unit 412 that controls an exposure condition for the photographing unit; and an image recording unit 413 that stores a first image photographed by the photographing unit in an exposure condition according to first control in which the exposure condition control unit performs automatic exposure control, in association with an exposure condition during the photographing. A terminal device includes an operation receiving unit 424 that receives an operation to select part of the first image on a screen to be displayed including the first image stored in the image storage unit, stores an exposure condition corresponding to a portion selected according to the operation received by the operation receiving unit as a selection exposure condition, and acquires the selected exposure condition associated with the portion received by the operation receiving unit from the exposure condition storage unit. The photographing unit includes the exposure condition storage unit 422 that photographs a second image in an exposure condition according to second control based on the selected exposure condition acquired by the exposure condition control unit.SELECTED DRAWING: Figure 5

To enable appropriate radiation imaging by enabling suppression of an artifact that may occur in a radiation image based on an electric signal read from each pixel in a case of radiation imaging of performing automatic exposure control.SOLUTION: A radiation imaging device includes: a pixel array including a plurality of pixels that acquire an electric signal according to an incident radiation ray, the plurality of pixels including a detection pixel that detects a radiation ray dose as an electric signal; and a bias supply circuit 120 for supplying a bias voltage to the plurality of pixels. An output impedance of the bias supply circuit 120 varies depending on whether or not it is a case of radiation imaging of automatic exposure control based on the radiation ray dose detected by the detection pixel.SELECTED DRAWING: Figure 4

An adaptive light source is provided to adjust illumination parameters based on an analysis of image quality. Area-based exposure metrology of an image of an LED lighting scene and an exposure pattern of an adaptive light source for illuminating the scene are determined. The image quality is analyzed to determine whether the image is acceptable based on the noise level, the motion artifacts, and the frame rate. If unacceptable, a portion of the scene having the highest contribution to noise is determined and driving parameters of the LEDs mapped to the portion are adjusted based on a region based on the exposure metrology of the region to improve image quality. Distance of objects in the scene is also determined and the image is analyzed based on the distance to distinguish dark and low reflectivity objects from distant objects in the scene.

The present invention relates to an intraoral X-ray system comprising: an intraoral X-ray device equipped with an automatic exposure control (AEC) functionality and connectable to a cloud and a computer, characterized in that at least one intraoral X-ray sensor is connectable to the intraoral X-ray device, and the intraoral X-ray device comprises a functional switch which, in an initial identification process, recognizes the sensor type of the at least one connected intraoral X-ray sensor, and activates an associated mode (M; M′; M″), wherein the intraoral X-ray system comprises one or more of the following modes (M; M′; M″): a mode (M″) for intraoral X-ray sensor side detection of an exposure level, a mode (M′) for intraoral X-ray device, computer or cloud side detection of an exposure level, a mode (M) without detection of an exposure level.

An image capturing apparatus includes a calculation unit and a control unit. The calculation unit calculates a first photometric value based on brightness in a first region of a captured image, and a second photometric value based on brightness in a second region and the first photometric value. The second region is narrower than the first region and corresponds to the focus position during image capture. The control unit adjusts the exposure for image capture. In a case where the image capturing apparatus is set to full-time MF mode and images are being periodically captured, when the user is operating the focus ring, the calculation unit does not calculate the second photometric value, and the control unit adjusts the exposure based on the first photometric value, while when the user is not operating the focus ring, the control unit adjusts the exposure based on the second photometric value.

An adaptive light source is provided to adjust illumination parameters based on analysis of the image quality. Region-based exposure metering of an image of an LED-illuminated scene is determined, as are the exposure modes of the adaptive light source used to illuminate the scene. The image quality is analyzed to determine whether the image is acceptable based on noise level, motion artifacts, and framerate. If not acceptable, portions of the scene having the highest contributions to noise are determined and driving parameters of LEDs mapped to the portions based on regions of the region-based exposure metering are adjusted to improve the image quality. The distances of objects in the scene are also determined and the image analyzed based on the distances to distinguish dark and low reflectance objects with far away objects in the scene.

The invention discloses a radiation imaging apparatus, a control method of the radiation imaging apparatus, and a computer program product. An apparatus includes: a pixel array including a plurality of pixels configured to acquire a signal corresponding to incident radiation, the plurality of pixels including detection pixels configured to detect a dose of radiation as a signal; and a bias voltage supply circuit configured to supply a bias voltage to the plurality of pixels, in which an output impedance of the bias voltage supply circuit varies depending on whether an imaging mode for radiographic imaging is radiographic imaging in which automatic exposure control is performed, the automatic exposure control is based on the dose of radiation detected by the detection pixel.

The invention relates to an exposure control method and device, electronic equipment and a storage medium. Under the condition that it is determined that the X-ray is detected in the detection area of the detector, gray scale accumulated values in all preset time periods are obtained, exposure deadline is determined according to the target gray scale value of the medical image, all the gray scale accumulated values and the communication delay duration between the detector and the high-voltage generator, and the exposure deadline is sent to the high-voltage generator. And controlling the high-voltage generator to stop generating the X-rays according to the exposure deadline. In the embodiment of the invention, the detection area of the detector is used for detecting the gray accumulated value to carry out automatic exposure control, the traditional ionization chamber or pre-exposure mode is replaced to realize automatic exposure control, the detection area can be selected at will, and the accuracy of gray control is improved; and through the gray scale accumulated value, the target gray scale value and the communication delay duration in each preset time period, prediction of the exposure deadline is realized, so that accurate gray scale control is realized. Furthermore, the exposure control cost is effectively reduced, and the radiation dose of a patient is reduced.

Systems and techniques are described herein for adjusting settings for capturing images. For instance, a method for adjusting settings for capturing images is provided. The method may include receiving a first frame from an image sensor; determining that the first frame is overexposed based on the first frame including a brightness value greater than a threshold; adjusting image-capture settings of the image sensor for a plurality of frames such that each frame of the plurality of frames is captured using a different exposure setting of a plurality of exposure settings; comparing at least one frame of the plurality of frames to the threshold to determine an anchor frame from the plurality of frames, wherein the anchor frame includes a brightness value below the threshold; and adjusting the image-capture settings of the image sensor based on an exposure setting of the anchor frame.

The invention provides an image automatic exposure method and device, a terminal and a storage medium. The image automatic exposure method comprises the following steps: acquiring a current image and exposure parameters of the current image; determining an exposure statistical value of the current image; determining whether the current image is in an exposure steady state based on the exposure statistical value and a preset automatic exposure brightness standard; when it is determined that the current image is not in the exposure steady state, determining an updated exposure total amount; an updated exposure parameter is determined from the exposure table based on the updated total exposure amount. According to the method and the device, the problem that exposure oscillation is easy to generate when a sensor with poor exposure linearity is controlled by a general automatic exposure control algorithm can be solved, automatic exposure can be quickly converged to proper parameters under various exposure conditions, and exposure oscillation flicker is avoided. In addition, the exposure parameters corresponding to the nonlinear phenomenon in the exposure table do not need to be calibrated or manually skipped in advance, the exposure table is uninterrupted, and exposure convergence is smooth.

The present invention relates to a radiographic imaging apparatus and a method for driving the radiographic imaging apparatus and, more specifically, to a radiographic imaging apparatus and a method for driving the radiographic imaging apparatus, wherein the radiographic imaging apparatus can perform an automatic exposure control (AEC) function by analyzing pixel values of an image in real time during irradiation when treating a patient or the like using radiation.

A radiation imaging apparatus is configured to detect a radiation dose in a light reception field selected from among a plurality of light reception fields. The radiation imaging apparatus includes a radiation detection panel including the plurality of light reception fields, each of which includes at least one radiation dose detection element, and a housing configured to accommodate the radiation detection panel and having an incident surface for receiving the radiation. A plurality of indicators is formed on the incident surface and arranged in a matrix pattern, each indicator of the plurality of indicators corresponding to a light reception field of the plurality of light reception fields A display format of a first indicator among the plurality of indicators is a first display format, and a display format of a second indicator among the plurality of indicators is a second display format different from the first display format.

The invention discloses a control method of a flat panel detector with an automatic exposure control function, relates to the technical field of industrial X-ray nondestructive testing and image automatic exposure control, and breaks through the mechanical limitation of a fixed sensing area. A copper foil / diaphragm area is dynamically segmented through the lightweight convolutional neural network to adapt to micron-sized dislocation in any direction in the pole piece laminating process; no matter how the high-density copper foil region deviates, the system can accurately position and apply a partition exposure strategy, so that misjudgment caused by region drifting in the traditional DAEC technology is thoroughly avoided, and dose suppression and signal enhancement are synchronously executed according to distinct imaging characteristics of the copper foil and a diaphragm: the high-density copper foil region is subjected to overexposure suppression based on gray scale gradient distribution; welding defect details are reserved; the signal-to-noise ratio of the low-density diaphragm area is improved according to the local contrast, and the visibility of the pore structure is enhanced.

The present invention relates to a radiography system and, more specifically, to a radiography system capable of implementing, when a patient and the like is treated using radiation, an automatic exposure control (AEC) function even if various delays occur when an AEC signal is transmitted and received during radiation emission.

This application discloses a portable autofocus hyperspectral imaging system and method. The system includes a spectral data acquisition module, a spectral analysis module, a displacement platform, an inertial measurement module, and a control module. The spectral data acquisition module includes an adjustable focus lens, a beam splitter, a first collimating lens group, and an image sensor. The spectral analysis module is equipped with an electronic shutter, a slit, a second collimating lens group, a grating, a third collimating lens group, and an imaging element along the optical path. The displacement platform drives the spectral analysis module to perform internal scanning motion. The control module executes the autofocus algorithm, automatic exposure control, and multi-source data fusion and preprocessing. This application can improve focusing accuracy and spatial registration accuracy of spectral data in complex depth-of-field scenes, intelligently and adaptively adjust exposure parameters, compensate for geometric distortion, support unattended continuous operation, reduce the cost of ineffective operations, and improve the reliability and usability of hyperspectral data.

One or more example embodiments relates to a computer-implemented method for dose control with an automatic exposure control. The method comprises receiving a first time-course, receiving a second time-course, and receiving a cut-off dose. The method comprises determining a first weight, determining a second weight, multiplying a latest value of the first time-course with the first weight, wherein a first weighted accumulated dose is determined and multiplying a latest value of the second time-course with the second weight, wherein a second weighted accumulated dose is determined. The method comprises adding the first and the second weighted accumulated dose, wherein a weighted overall applied dose is determined, comparing the weighted overall applied dose with the cut-off dose, and providing a result of the comparison.