Abstract: The present disclosure discloses a water-replenishing fishway with an adaptively-adjusted floating dock, comprising: a fishway body, wherein the bottom of the fishway body is rotationally connected with a floating dock structure, an auxiliary swimming structure is arranged inside the fishway body, and an adjusting structure used to adjust the auxiliary swimming board of the auxiliary swimming structure is arranged on said floating dock structure. The present disclosure can adaptively adjust the angle of the fishway body and auxiliary swimming board and effectively assist the fish's migration.

Abstract: The present invention discloses a fabrication method and use of a ?40 mm large-size and high-contrast fiber optic image inverter, belonging to the field of manufacturing of fiber optic imaging elements. The light-absorbing glass for preparing the ?40 mm large-size and high-contrast fiber optic image inverter consists of the following components in molar percentage: SiO2 60-69.9, Al2O3 1.0-10.0, B2O3 10.1-15.0, Na2O 1.0-8.0, K2O 3.0-10.0, MgO 0.1-1.0, CaO 0.5-5.0, ZnO 0-0.1, TiO2 0-0.1, ZrO2 0.1-1.0, Fe2O3 3.0-6.5, Co2O3 0.1-0.5, V2O5 0.51-1.5 and MoO3 0.1-1.0. The fiber optic image inverter has the advantages of low crosstalk of stray light, high resolution and high contrast.

Abstract: An aluminum borate whisker reinforced and toughened non-metallic matrix composite is provided, which specifically includes a non-metallic material reinforced and toughened with aluminum borate whiskers. The composite exhibits a higher bending strength and fracture toughness and a higher wear resistance. A method for preparing the composite is also provided. The method includes mixing the aluminum borate whiskers and the non-metallic material to form a mixture; and sintering the mixture by a vacuum hot press method, or molding the mixture.

Abstract: An image acquisition, an electronic device, and a non-transitory computer-readable storage medium are provided. The image acquisition method includes: acquiring, by a first camera, at least two first images by using at least two different first exposure parameters; performing a content analysis on each of the first images, and determining at least two second exposure parameters according to an content analysis result and the at least two different first exposure parameters; performing an image acquisition, by a second camera, with the at least two second exposure parameters to acquire at least two second images; and performing a fusion process on the at least two second images to obtain a target image.

Abstract: An image acquisition, an electronic device, and a non-transitory computer-readable storage medium are provided. The image acquisition method includes: acquiring, by a first camera, at least two first images by using at least two different first exposure parameters; performing a content analysis on each of the first images, and determining at least two second exposure parameters according to an content analysis result and the at least two different first exposure parameters; performing an image acquisition, by a second camera, with the at least two second exposure parameters to acquire at least two second images; and performing a fusion process on the at least two second images to obtain a target image.

Abstract: A method for image processing, an electronic device, and a non-transitory storage medium are disclosed. The method includes obtaining an image captured by the camera and performing edge identification on the image; determining a filtering kernel for a filtering processing on the image according to a result of the edge identification; performing the filtering processing on the image based on the filtering kernel to obtain a low-frequency image and a high-frequency image corresponding to the image; and performing an enhancement processing for the high-frequency image and performing image fusion for the low-frequency image and the enhanced high-frequency image to obtain a processed image.

Abstract: A method for image processing, an electronic device, and a non-transitory computer readable medium are disclosed. The method includes obtaining an image in a chrominance-luminance separated color mode; traversing luminance components of all pixels in the image to determine a number of pixels corresponding to the respective luminance component; generating an original luminance distribution of the image based on the luminance components and the number of the pixels corresponding to the respective luminance component; generating a luminance mapping relationship between a preset standard luminance distribution and the original luminance distribution; and adjusting the luminance components of the pixels in the image based on the luminance mapping relationship to obtain a processed image.

Abstract: An image processing method includes acquiring an image in a chrominance-luminance separation color mode; performing scene recognition of the image to determine a scene of the image; traversing luminance components of respective pixel points in the image, and generating a luminance distribution of the image according to a traversing result of the luminance components; generating a luminance mapping relation based on a standard luminance distribution corresponding to the scene of the image and the luminance distribution of the image; and adjusting the luminance components of the respective pixel points in the image according to the luminance mapping relation to generate a first processed image.

Abstract: The present disclosure discloses a method, apparatus and electronic device for determining skin smoothness, which relates to the field of computer vision technologies. The specific implementation solution is as follows: when the skin smoothness is calculated, an image to be detected including a face area is obtained first, and then the image to be detected and a smoothness analysis mask image corresponding to the image to be detected are inputted into a deep learning model to obtain a plurality of feature vectors for indicating the skin smoothness of the face. Because the smoothness analysis mask image does not include preset factors including at least one of five sense organs, reflection and hair, the influence of the preset factors on the skin smoothness is avoided, so that the accuracy for the skin smoothness of the face is ensured to a certain extent.

Abstract: The present disclosure relates to a method and apparatus for image processing, and a computer-readable storage medium. The method includes the following actions. Face recognition is performed on an image to be processed to recognize a face region in the image to be processed. Facial feature recognition points in the face region are acquired. Coordinate values of the facial feature recognition points in a coordinate system are acquired. Distances between the facial feature recognition points and angles of a coordinate axis of the coordinate system relative to lines each connecting two of the facial feature recognition points are determined according to the coordinate values. A deviation angle of the face region is determined according to the distances between the facial feature recognition points and the angles of the coordinate axis relative to the lines each connecting two of the facial feature recognition points. A retouching template corresponding to the deviation angle is acquired.

Abstract: The present disclosure provides a white balance processing method. The white balance processing method includes processing an image to determine whether a light source is contained in a scene corresponding to the image; when the light source is contained in the scene, processing the image according to a first predetermined algorithm to acquire color temperature of the light source in the scene and performing a white balance processing on the image according to the color temperature of the light source; and when no light source is contained in the scene, performing the white balance processing on the image according to a second predetermined algorithm. The present disclosure further provides a white balance processing device, an electronic device and a non-transitory computer readable storage medium.

Abstract: The present disclosure provides a white balance processing method. The white balance processing method includes the following. Each image of the plurality of successive frame images is processed to determine color temperature corresponding to a main light source. It is determined whether a variation of primary color temperature is greater than or equal to a predetermined threshold. The variation of primary color temperature refers to a difference between the color temperature of the main light source in a second frame image subjected to the color temperature variation and the color temperature of the main light source in a first frame image subjected to the color temperature variation. The white balance process is performed on the second frame image subjected to the color temperature variation according to the color temperature of the main light source in the first frame image subjected to the color temperature variation when the variation of primary color temperature is less than the predetermined threshold.

Abstract: An image processing method is provided. The image processing method includes: each frame of image in multiple continuous frames of images is processed to determine a number of light sources of each frame of image; it is determined whether a difference between a number of light sources of a kth frame of image and a number of light sources of a (k+1)th frame of image is equal to 0; and when the difference is unequal to 0, a color temperature of the (k+1)th frame of image is determined to be a color temperature of the kth frame of image and the (k+1)th frame of image is processed according to the color temperature of the (k+1)th frame of image. An image processing device, a computer-readable storage medium and a computer device are further provided.

Abstract: The present disclosure provides a white balance processing method including processing an image to obtain a color of a light source contained in a scene corresponding to the image; determining whether the color of the light source is identical to a natural color of an object contained in the scene; when the color of the light source is identical to the natural color of the object, determining a type of the scene and performing a white balance processing on the image according to the type of the scene; and when the color of the light source is different from the natural color of the object, determining color temperature of the light source contained in the scene according to the color of the light source and performing the white balance processing on the image according to the color temperature of the light source.

Abstract: The present disclosure provides a white balance processing method including processing an image to obtain a color of a light source contained in a scene corresponding to the image; determining whether the color of the light source is identical to a natural color of an object contained in the scene; when the color of the light source is identical to the natural color of the object, determining a type of the scene and performing a white balance processing on the image according to the type of the scene; and when the color of the light source is different from the natural color of the object, determining color temperature of the light source contained in the scene according to the color of the light source and performing the white balance processing on the image according to the color temperature of the light source.

Abstract: The present disclosure provides a white balance processing method. The white balance processing method includes processing an image to determine whether a light source is contained in a scene corresponding to the image; when the light source is contained in the scene, processing the image according to a first predetermined algorithm to acquire color temperature of the light source in the scene and performing a white balance processing on the image according to the color temperature of the light source; and when no light source is contained in the scene, performing the white balance processing on the image according to a second predetermined algorithm. The present disclosure further provides a white balance processing device, an electronic device and a non-transitory computer readable storage medium.

Abstract: The present disclosure provides a white balance processing method. The white balance processing method includes the following. Each image of the plurality of successive frame images is processed to determine color temperature corresponding to a main light source. It is determined whether a variation of primary color temperature is greater than or equal to a predetermined threshold. The variation of primary color temperature refers to a difference between the color temperature of the main light source in a second frame image subjected to the color temperature variation and the color temperature of the main light source in a first frame image subjected to the color temperature variation. The white balance process is performed on the second frame image subjected to the color temperature variation according to the color temperature of the main light source in the first frame image subjected to the color temperature variation when the variation of primary color temperature is less than the predetermined threshold.

Abstract: A method for image processing, an electronic device, and a non-transitory storage medium are disclosed. The method includes obtaining an image captured by the camera and performing edge identification on the image; determining a filtering kernel for a filtering processing on the image according to a result of the edge identification; performing the filtering processing on the image based on the filtering kernel to obtain a low-frequency image and a high-frequency image corresponding to the image; and performing an enhancement processing for the high-frequency image and performing image fusion for the low-frequency image and the enhanced high-frequency image to obtain a processed image.

Abstract: A method for image processing, an electronic device, and a non-transitory computer readable medium are disclosed. The method includes obtaining an image in a chrominance-luminance separated color mode; traversing luminance components of all pixels in the image to determine a number of pixels corresponding to the respective luminance component; generating an original luminance distribution of the image based on the luminance components and the number of the pixels corresponding to the respective luminance component; generating a luminance mapping relationship between a preset standard luminance distribution and the original luminance distribution; and adjusting the luminance components of the pixels in the image based on the luminance mapping relationship to obtain a processed image.