An image processing apparatus has a color image, the image data being constituted by multiple pixels, each of the multiple pixels having a gradation value, and a controller, which is configured to generate a histogram of index values corresponding to brightness values of the multiple pixels constituting the image data, set an original threshold value based on the histogram which is referred to for binarization, detect a mound-shaped part, in the histogram, satisfying a particular condition, set an adjusting direction in which the original threshold value is to be adjusted, set the index value at a base on a particular direction side of a particular mound-shaped part which is one of mound-shaped parts existing on the adjusting direction side with respect to the original threshold value in the histogram as an adjusted threshold value, and apply a binarizing process to the image data using the adjusted threshold value.

A method for encoding an image descriptor (H) based on gradient histograms (h.sub.p) into a transformed descriptor (V) having transformed subdescriptors (v.sub.p), wherein each gradient histogram (h.sub.p) includes a plurality of histogram bins (h.sub.i) and each subdescriptor (v.sub.p) includes a set of values (v.sub.j), wherein the subdescriptors (v.sub.p) are generated according to an element utilization order list specifying a subdescriptor index (p) of the set of sub descriptors (v.sub.p) and an element index (j) of the set of values (v.sub.j).

An image processing device according to one embodiment includes a calculation unit and a setting unit. The calculation unit calculates a degree of complexity indicating a degree of positional dispersion of edges in a target region where a text region is to be extracted. The setting unit sets an edge threshold for detecting the text region to low as the degree of complexity is low.

An alignment method for manufacturing a mask integration framework is disclosed. The alignment method includes establishing an absolute coordinate system by taking a center of a metal framework as an origin of coordinates, the center of the metal framework coinciding with a center of an array substrate serving as a reference, controlling the array substrate to move, such that an offset of coordinates of a pixel point under the absolute coordinate system with respect to a predetermined theoretical value is smaller than or equal to a predetermined error value, and transmitting the coordinates of the pixel point under the absolute coordinate system, after the array substrate moves, to a tension device. An alignment system for manufacturing mask integration framework is also disclosed.

An information-processing apparatus includes: a first acquisition unit configured to acquire gradation characteristic information which relates to a gradation characteristic; a second acquisition unit configured to acquire axial characteristic information which relates to an axial characteristic including a distribution, on an axis, of graduations corresponding to brightness-related values related to brightness of input image data; and a generation unit configured to generate, based on the input image data, the gradation characteristic information, and the axial characteristic information, distribution information indicating a distribution of the brightness-related value of the input image data using the axis according to the axial characteristic information.

Provided is an information processing system configured to: receive a plurality of images; select a standard image; search, in extracting partial images for complementing a too bright region/too dark region in the standard image from a reference images, using correction images obtained by subjecting each of the images to multivalued processing for each division of luminance components, for regions having matching shapes of respective regions included in the correction image of the standard image and the correction images of the other images; and complement image portions corresponding to the too bright region and/or too dark region in the correction image of the standard image using image portions, which are matching regions and correspond to appropriately bright regions, to thereby generate a synthetic image. Each image is dividable into at least three values: a too bright region, an appropriately bright region, and a too dark region, and has a relationship in which a boundary luminance between the too bright region and the appropriately bright region aligns with a boundary luminance between the appropriately bright region and the too dark region in a darker image having an adjacency relationship therewith.

Systems and methods for local tone mapping are provided. In one example, an electronic device includes an electronic display, an imaging device, and an image signal processor. The electronic display may display images of a first bit depth, and the imaging device may include an image sensor that obtains image data of a higher bit depth than the first bit depth. The image signal processor may process the image data, and may include local tone mapping logic that may apply a spatially varying local tone curve to a pixel of the image data to preserve local contrast when displayed on the display. The local tone mapping logic may smooth the local tone curve applied to the intensity difference between the pixel and another nearby pixel exceeds a threshold.

Various embodiments disclosed herein are directed to methods of capturing Vehicle Identification Numbers (VIN) from images captured by a mobile device. Capturing VIN data can be useful in several applications, for example, insurance data capture applications. There are at least two types of images supported by this technology: (1) images of documents and (2) images of non-documents.

A document type recognition apparatus includes an image region separation unit, a smoothing unit, an edge enhancement unit, a histogram creation unit, and a document type recognition unit. The image region separation unit outputs a signal indicative of each region obtained by separating an input image into a character region and a pattern region. The smoothing unit performs smoothing processing to remove halftone dots of a particular number of lines or greater in the pattern region of the input image. The edge enhancement unit outputs an image subjected to edge enhancement processing depending on an amount of edge on an edge portion of the character region in the input image subjected to the smoothing processing. The histogram creation unit creates a histogram of the image subjected to the edge enhancement processing. The document type recognition unit recognizes a document type of the input image by utilizing the histogram.

An image processing system includes: a receiving unit configured to receive an input of a plurality of image frames constituting a video from an imaging apparatus; a detection unit configured to detect a feature point included in an image frame to be processed in the plurality of image frames; and an output unit configured to output an output image obtained by superimposing an image frame to be processed of an area detected as a feature point on a background image generated from at least some of a plurality of image frames.