An image processing apparatus includes a setting unit and a conversion unit. The setting unit sets a gradation threshold. The conversion unit converts a gradation value greater than the gradation threshold in an input image into a predetermined gradation value, converts a gradation value equal to or less than the gradation threshold in the input image into a gradation value equal to or less than the predetermined gradation value, and generates an output image. In a case where the input image is an image processed in such a manner as to enhance a predetermined area, the setting unit sets the gradation threshold such that a surrounding area of the predetermined area of the input image becomes equal to or less than the gradation threshold.

An image processing apparatus includes a controller configured to execute: acquiring objective image data representing an objective image which includes a first character and a second character; analyzing first partial image data and specifying the first character in an image represented by the first partial image data; and generating processed image data representing a processed image which includes the first character and the second character by using the objective image data. The objective image data includes the first partial image data in a bitmap format which represents the image including the first character and second partial image data in a vector format which represents an image including the second character. The processed image data includes: first processed data representing an image including the first character; and second processed data representing an image including the second character.

A first conversion into pixels of an obtained object, for which the processing for widening the width of the object is performed, is performed, and a second conversion into pixels of the object, for which the processing for widening the width of the object is not performed, is performed. When the first conversion is performed, a pixel is filled or is not filled with color depending on a position of a boundary of the object in the pixel. When the second conversion is performed, a pixel is filled with color if the position of the boundary of the object exists in the pixel.

A method, non-transitory computer readable medium and apparatus for generating an output image are disclosed. For example, the method includes receiving an image, applying a first filter, applying a second filter, calculating a difference between the image with the second filter that was applied and the image with the first filter that was applied and transmitting the difference to a sharpening module and a segmentation module to generate the output image.

Surface texturing of objects during additive manufacturing, including systems and methods thereof. For example, a method of surface texturing a three-dimensional (3D) object during additive manufacturing of the object: (a) irradiating a resin segment with patterned light at a build plane to polymerize said resin and grow said 3D object, then (b) advancing said object away from said build plane to bring a new segment of said resin in contact with said growing 3D object and establish a new build plane, and then repeating steps (a) through (b) until said 3D object is formed. For resin segments that correspond to portions of said 3D object to which surface texture is applied, said irradiating step is carried out by sequentially irradiating each resin segment with: (i) a first sub-exposure pattern and (ii) a second sub-exposure pattern, one of which is modified to include a texture pattern on a surface thereof.

Edge enhancement of a digital image can include using at least two signal processing paths to adjust a display-formatted pixel value to enhance the appearance of edges in displayed image data. A digital image can be filtered by producing an edge enhancement factor, α, per pixel from at least one look up table (LUT). Digital image data can also be adjusted using at least two signal processing paths, where the image data is adjusted if a pixel value and its neighboring pixel values are all within a smoothing range or where the pixel delta value is outside of a bad pixel range and its neighboring pixel delta values are all within the bad pixel range. In such cases, the image data can be adjusted by replacing the pixel value with an average or median value of the neighboring pixels.

An image reading apparatus includes an image data obtaining unit, a foreign material position information obtaining unit, and a separation processor. The image data obtaining unit obtains image data read from a document passing over a read area. The foreign material position information obtaining unit obtains foreign material position information read from the read area in which the document is not present. The separation processor separates the image data into plural objects including a background object, detects, by using the foreign material position information, a streak image portion caused by foreign material in the read area and included in the image data, and assumes a pixel of the streak image portion to belong to the background object if the pixel is present in the background object and has a pixel value equal to or smaller than a threshold determined in accordance with a representative value of the background.

An information processing apparatus is configured to provide an additive manufacturing apparatus with data for creating a modeling object. The additive manufacturing apparatus includes a layering part configured to layer a material and move in accordance with trajectory information to create the modeling object. The information processing apparatus includes a memory and a processor coupled to the memory. The processor is configured to create a cross-sectional shape of the modeling object using data on the shape of the modeling object, create the trajectory information based on the created cross-sectional shape, and create width information to dynamically vary the width of the material to be layered based on the trajectory information.

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 apparatus includes a memory and at least one processor or circuitry or a combination thereof. The memory is configured to store determination conditions. The at least one processor or circuitry or the combination thereof is configured to acquire image data and extract a feature element from the image data. The at least one processor or circuitry or the combination thereof is further configured to determine whether the extracted feature element satisfies conditions defined in the determination conditions. The at least one processor or circuitry or the combination thereof is further configured to set an area with reference to an extracted feature element satisfying the conditions based on the determination conditions. The at least one processor or circuitry or the combination thereof is further configured to set an attribute of the area based on the determination conditions.