A method of calibrating a beam scan field of an additive manufacturing machine in which a radiant energy beam is used to selectively melt material to form a workpiece, the method including: using a radiant energy source, directing a beam using a steering mechanism so as to create a calibration build job on a substrate, the calibration build job including at least one measurement artifact created by the beam; using a calibrated camera, collecting an image of the calibration build job; generating a set of measurements of the calibration build job from the image; comparing the measurements to a standard; in response to the measurements deviating from the standard by more than a predetermined acceptable tolerance, adjusting the steering mechanism; wherein the steps of directing, collecting, generating, comparing, and adjusting are carried out in response to automated commands from an electronic controller.

Signal detection and recognition employees coordinated illumination and capture of images under to facilitate extraction of a signal of interest. Pulsed illumination of different colors facilitates extraction of signals from color channels, as well as improved signal to noise ratio by combining signals of different color channels. The successive pulsing of different color illumination appears white to the user, yet facilitates signal detection, even for lower cost monochrome sensors, as in barcode scanning and other automatic identification equipment.

A local variance or an edge amount is calculated as an image feature amount by analyzing a reference image of the same field of view as multiple band images constituting a multispectral image, a filter parameter is calculated from the image feature amount, and smoothing the band images while preserving edges is performed by using the filter parameter. When a multispectral image including a band image of a wavelength band in which a sufficient signal amount is not obtained is obtained, it is possible to improve the S/N ratio of the multispectral image without destroying edges.

An image processing apparatus performs predetermined image processing for read data obtained by reading an image on a document by first and second reading sensors arranged so as to have an overlapping area. The predetermined image processing includes color correction processing of converting color signals detected by light receiving elements of the reading sensors into color signals with respect to each of pixels forming read data. Color correction processing for first read data obtained from light receiving elements of the first reading sensor not included in the overlapping area and color correction processing for second read data obtained from light receiving elements of the second reading sensor not included in the overlapping area are performed in accordance with different correction characteristics. By doing this, an image in which image unevenness caused by individual differences of the short reading sensors is reduced can be output.

An information processing device includes: an acquisition unit configured to acquire color information on a specific color included in an inspection image, and a determination condition for determining a color shift with respect to the specific color; and a controller configured to: determine, based on the color information and the determination condition acquired by the acquisition unit, test image data representing a plurality of test images to be formed by an image forming apparatus; output the determined test image data to the image forming apparatus in order to form the plurality of test images; acquire luminance data on the plurality of test images, the luminance data being output from a color sensor; acquire spectral data on the plurality of test images, the spectral data being output from a spectroscopic sensor.

A system and method are described for enhancing readability of document images by operating on each document individually. Monochromatic light sources operating at different wavelengths of light can be used to obtain greyscale images. The greyscale images can then be used in any desired image enhancement algorithm. In one example algorithm, an automated method removes image background noise and improves sharpness of the scripts and characters using edge detection and local color contrast computation.

An internal discharge space is defined between an image reading section and an image forming section and the internal discharge space has an opening in a front of the image forming apparatus. Since the internal discharge space has the opening in the front of the image forming apparatus, a border between the internal discharge space and the housing is located in the front of the image forming apparatus. A light emitting section having a predetermined length along the border is provided and emits light along the predetermined length of the border, enabling users to check a light emission state from a distance. Accordingly, a state of the image forming apparatus can be indicated by the light emitting section.

An image processing device includes: an estimated size setting section (ACS determination section 151) which sets a document size of a document sheet as an estimated size; a threshold deciding section (ACS determination section 151) which decides a first threshold according to the estimated size; and an ACS determination section (151) which determines that the document sheet is a color document sheet when a number of color pixels reaches the first threshold. When an actual size of the document sheet is smaller than the estimated size, the threshold deciding section decides a second threshold which is smaller than the first threshold, and the document sheet is determined to be a color document sheet when the number of color pixels is the second threshold or greater and is determined to be a black-and-white document sheet when the number of color pixels is smaller than the second threshold.

An original image is read as an aggregate of a plurality of pixels in which adjacent pixels have different colors (R, G, and B) in a main scanning direction and in a sub-scanning direction, and the read pixels of the respective colors are stored in a line memory in association with information on relative positions of the pixels with respect to another pixel. Then, the stored pixels are sorted so that pixels having the same color are adjacent to each other, and an abnormal pixel (dust) not present in the original image is detected based on the state of the sorted pixels. With this, the dust not present in the original image is detected without increasing the cost, and the dust is corrected without forming a conspicuous trace of correction.

An image reading apparatus is provided with: a reading processing unit which moves a reading unit, causes a light emitting unit to emit a first amount of light, reads an electric charge generated by a photoelectric conversion unit, and reads an image of a document placed on a document placing surface on the basis of the read electric charge; and a detection processing unit which causes a light emitting unit to emit a second amount of light greater than the first amount of light, reads an electric charge generated by the photoelectric conversion unit, and detects the size of the document placed on the document placing surface on the basis of the read electric charge.