A determination device selects a determination area included in a captured image acquired by an imaging data acquisition device, extracts a determination image of a preset target color from the selected determination area, binarizes gradation data of the target color in pixel regions constituting the extracted determination image by using a binarization threshold suitable for each determination area to acquire binarized reference binary data of the determination image, converts the gradation data of the target color in the pixel regions constituting the extracted determination image with respect to a dark portion of the determination image to acquire converted gradation data, binarizes the acquired converted gradation data by using the binarization threshold to acquire comparison binary data, and acquires, based on comparing the reference binary data with the comparison binary data, a determination value for determining a printing method used to produce a printed surface of a printed product.

A determination system includes an imaging data acquisition device that captures an image of a printed surface of a printed product to acquire imaging data of the captured image, and a determination device that determines, based on the imaging data, a printing method used to produce the printed surface of the printed product for which the image is captured by the imaging data acquisition device. The determination device selects a plurality of determination areas included in the captured image, acquires determination data based on a line-segment image included in each of the determination areas, compares the acquired determination data between two determination areas, and acquires, based on a result of the comparison, a determination value for determining a printing method used to produce the printed surface of the printed product, and determines, based on the determination value, a printing method used to produce the printed surface of the printed product.

A surgical system comprises a network accessible database configured to store calibration data for an endoscopic image capture device. The surgical system also comprises an image processor configured to be communicatively coupled to the endoscopic image capture device to receive image data of a surgical site during a surgical or diagnostic procedure. The image processor is configured to retrieve the calibration data from the network accessible database via a network connection. The image processor is further configured to process the received images based on the retrieved calibration data. The surgical system further comprises a user control system coupled to the image processor and configured to receive the processed images from the image processor. The user control system comprising a display configured to display the processed images. The calibration data is periodically or dynamically updated on the database to account for changes in the surgical system or new calibration methodologies.

An information loss determiner in an image processing device determines whether character collapse has occurred in a simple binarized image. If character collapse has not occurred in the simple binarized image, an image processing determiner selects simple binarization processing as the image processing method of output image data. If character collapse has occurred in the simple binarized image, the process proceeds to photograph area size determination. If the ratio of a photograph area size is less than or equal to a predetermined value, the information loss determiner determines that character collapse has occurred in a posterization processed image. If character collapse has occurred in the posterization processed image, the image processing determiner selects grayscale processing. If character collapse has not occurred in the posterization processed image, the image processing determiner selects posterization processing.

A visibility adjusting unit (22) displays on the display device (15a) a user interface to specify a visibility level, detects with the input device (15b) a user operation performed to the user interface such that the user operating specifies a visibility level, determines the visibility level based on the detected user operation, and converts the determined visibility level to a resolution in accordance with a predetermined conversion rule. The scan control unit (21) specifies to the image scanning unit (11) the resolution obtained in the conversion performed by the visibility adjusting unit (22) and causes the image scanning unit (11) to generate image data of the document image, and converts the generated image data to image data of a specified data type.

In an example method, a first dot pattern of shadow dots and second dot pattern of highlight dots is generated. The first dot pattern and second dot pattern include information to be encoded across the image. The first dot pattern and the second dot pattern are mapped to a corresponding subset of the greyscale source pixels, the greyscale source pixels corresponding to an image to be printed. A value of a greyscale pixel in the subset of the greyscale source pixels is modified based on a predetermined threshold pixel value. The value of the greyscale pixel is set to a highlight dot value in response to detecting that the predetermined threshold pixel value is exceeded or set to a shadow dot value in response to detecting that the predetermined threshold value is not exceeded. The image including the subset of pixels with modified values is printed.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing intelligent sectioning and selective document reflow for section-based printing. For example, the disclosed systems can intelligently identify document objects (e.g., document structures and sections) within a digital document by utilizing a machine-learning model. In so doing, the disclosed systems can identify document-object types and document-object locations for the document objects in the digital document. In turn, the disclosed systems can provide, for display within a dynamic printing interface, selectable document sections comprising the identified document objects. In response to a user selection of one or more of the selectable document sections, the disclosed system can generate a modified digital document for printing by reflowing the identified document objects in accordance with the user selection. In some cases, reflowing comprises removing unselected document objects and/or repositioning one or more of the selected document objects.

In a system, a setting window including at least a preview region in which a scanned image is previewed and a text field to which attribute information on the scanned image is input is displayed, when a character region within the scanned image previewed in the setting window is moused over, control to preliminarily display a character string corresponding to the moused-over character region in the text field is performed, and when the moused-over character region is clicked by a mouse, control to fix the character string preliminarily displayed in the text field is performed.

A non-transitory computer-readable medium stores computer-readable program instructions configured to, when executed, cause an information processing device to receive a scan instruction to cause an image scanner to perform image scanning of a document sheet, the scan instruction including a scan setting indicating whether to perform monochrome scanning or color scanning, receive image data generated by the image scanning of the document sheet according to the scan instruction, obtain base color information representing whether black is set as a base color in an OS of the information processing device, determine whether an image represented by the image data includes a text, and display the image in a black-white inverted manner, when the scan instruction includes the scan setting indicating to perform the monochrome scanning, the base color information represents that black is set as the base color, and it is determined that the image includes a text.

Provided is an image reading system capable of improving the image quality of a document in which text and images are mixed in the same page. A camera captures a document in page units to obtain captured image data. A document reading unit is an image scanner having a higher resolution than the camera. An area classifying unit classifies the captured image data captured by the camera into areas for each content. An area selecting unit selects, for each classified area, whether to output captured image data based on the area classification and the state of the captured image data. An image processing unit processes the captured image data or the scanned image data for each area, and outputs or deletes the data as area data. The document output unit collects the processed area data, reconstructs the data into document data, and outputs the document data.