Brother Kogyo Kabushiki-kaisha

Makita Corporation

Masaki Kondo

Tomohiko Hasegawa

Ryohei Ozawa

Yasunari Yoshida

Masashi Ueda

Naoki Hagai

Masashi Kuno

Tomonobu Nashimoto

Masahiro Nishihara

Masayoshi Okumi

Makoto Mizutani

Yoshiyuki Tanaka

Shinsuke Okuda

Yoshinori Shibata

Katsuhiko Sasaki

Shinji Hirabayashi

Takeshi Watanabe

Tetsuya Hasegawa

Hirotomo Inayoshi

Ryosuke Ito

Masaki Sugiyama

Katsumi Tozawa

Kazuya Nakamura

Hideyuki Nakadachi

Toshiyuki Kani

Ryuji Yamada

Yuji Takahashi

Michio Okumura

Katsumi Okouchi

Norifumi Niwa

Kiyoji Muramatsu

Yukinori Suzuki

Shingo Saito

Hideki Okubo

Hidenori Ito

Koki Furukawa

Ichio Sakabe

Takashi Miyazaki

A method for generating a plurality of sets of training image data for training a machine learning model includes: (a) acquiring object image data representing an object image; (b) dividing the object image into T number of partial object images by dividing a region of the object image into T number of partial regions corresponding to respective ones of T number of partial color ranges; (c) generating a plurality of sets of color-modified object image data representing respective ones of a plurality of color-modified object images by performing an adjustment process on the object image data, the adjustment process including a color modification process to modify colors of at least one of the T number of partial object images; and (d) generating the plurality of sets of training image data using one or more sets of background image data and the plurality of sets of color-modified object image data.

Method for generating a plurality of sets of training image data for training machine learning model

A non-transitory computer-readable storage medium storing a set of program instructions for an image processing apparatus is disclosed. The set of program instructions, when executed by a controller of the image processing apparatus, causes the image processing apparatus to: acquire input image data indicating an input image; and input the input image data to a trained machine learning model configured to perform calculation processing on the input image data and to generate output image data corresponding to the input image data. The machine learning model is trained to generate the output image data indicating a first area and a second area. The first area is an area in the input image in which it is preferable to perform first image processing. The second area is an area in the input image in which it is preferable to perform second image processing different from the first image processing.

Storage medium storing program, image processing apparatus, and training method of machine learning model

In an image processing device, a controller performs: acquiring target image data representing a target image; inputting first and second datasets into a machine learning model and causing the machine learning model to output first and second partial dot data; and generating dot data specifying a dot formation state for each of a plurality of pixels in a print image corresponding to the target image using the first and second partial dot data. The first dataset includes first partial image data and a first value for an input parameter. The second dataset includes second partial image data and a second value for the input parameter. The machine learning model outputs the second partial dot data different from the first partial dot data according to the second value being different from the first value even when the second partial image data is identical to the first partial image data.

Image processing device generating dot data using machine learning model and method for training machine learning model

A method for generating an image processing filter includes: adjusting; and extracting. The adjusting inputs first training image data into a neural network to generate output image data, calculates an evaluation value based on a loss function using the output image data and second training image data, and adjusts a convolution filter so as to reduce the evaluation value. The extracting extracts data from the adjusted convolution filter as data for the image processing filter. A first training image includes noise and reproduces a test pattern. A second training image includes reduced noise and reproduces the test pattern. The loss function includes a first term and a second term. The first term specifies a magnitude of a difference between the output image data and the second training image data. The second term grows smaller as symmetry of the convolution filter relative to a filter axis of symmetry increases.

Method for generating image processing filter and image processing method using the image processing filter

An image processing device may judge whether to execute a first type of enlarging process or a second type of enlarging process based on M lines of letter strings in an original image, in a case of judging to execute the first type of enlarging process, generate a first type of processed image data indicating a first type of processed image by executing the first type of enlarging process, and in a case of judging to execute the second type of enlarging process, generate a second type of processed image data indicating a second type of processed image by executing the second type of enlarging process. A layout of the plurality of letters in the second type of processed image is different from a layout of the plurality of letters in the first type of processed image.

Image processing device

An image processing apparatus includes a processor, and memory storing computer readable instructions, when executed by the processor, causing the apparatus to operate as: a template image data generating unit configured to generate template image data representing a template image including a body area for writing information therein, and also including a keyword area for writing information therein for specifying a keyword to be associated with target image data representing a target image including the body area having information written therein, from among plural keywords; and a template image data providing unit configured to provide the template image data to a printing unit.

Image processing apparatus and program for printing template images using keyword data

In a control device, a controller is configured to perform: determining whether to print a target unit image according to J number of index values respectively corresponding to J number of target partial images; in response to determining to print the target unit image, controlling a printer to execute ejection processing and movement processing for printing a band image constituted with H number of successive unit images arranged in a sub-scanning direction and including the target unit image, the ejection processing ejecting a droplet of coloring material onto a printing medium while moving a print head in a main scanning direction, the movement processing moving the printing medium in the sub-scanning direction with respect to the print head; and in response to determining not to print the target unit image, controlling the printer to execute the movement processing but not execute the ejection processing for printing the target unit image.

Control device for controlling printer having print head

The image processing device executes first correction process and second correction process. The first correction process comprises correcting a pixel value corresponding to a first partial area, which is included in the achromatic-color representation area and is adjacent to the chromatic-color representation area, such that the achromatic color ink in the first partial area decreases to be zero, at least one of the three or more types of chromatic color inks increases, and the pixel value represents the achromatic color. The second correction process comprises correcting a pixel value corresponding to a second partial area, which is included in the achromatic-color representation area and is adjacent to the first partial area and is remote from the chromatic-color representation area, such that the achromatic color ink in the second partial area decreases to a specific value more than zero, at least one of the three or more types of chromatic color inks increases, and the pixel value represents the achromatic color.

Image processing device and computer-readable storage medium storing computer-readable program

An image processing apparatus includes a processor, and memory storing computer readable instructions, when executed by the processor, causing the apparatus to function as a storage destination specifying unit configured analyze original image data generated by optically reading a document, the document including a body area having information written therein, and also including a storage destination specifying area representing information for specifying a storage destination to store target image data representing a target including the body area, so as to specify the storage destination to store the target image data, and a target image data providing unit configured to provide the target image data to the specified storage destination.

Image processing apparatus and program

An image processing device may acquire original image data representing an original image including M lines of original character strings, and combine M items of original character string image data representing the M lines of original character strings so as to create target character string image data representing one line of target character string. The image processing device may divide the target character string image data so as to create N items of divided character string image data representing N lines of divided character strings into which the one line of target character string is divided, and create output image data representing the N lines of divided character strings by using the N items of divided character string image data. A number of characters of a leading line of divided character string may be different from a number of characters of a leading line of original character string.

An image processing apparatus includes a processor, and memory storing computer readable instructions, when executed by the processor, causing the apparatus to function as a document image acquiring unit configured to acquire document image data which is generated by optically reading a document and represents a document image, an area image generating unit configured to use the document image data to generate plural area image data representing plural area images that are included in the document image, and a file generating unit configured to generate a file including the plural area image data such that the plural area images are disposed in different pages.

Image processing apparatus and computer program for generating a file in which plural area images of a document image are disposed in different pages

A handheld work machine comprises a main body comprising a prime mover and a handle fixed to the main body and configured to be gripped by a user. The handle is formed by pipe material and at least one reinforcement member is disposed at a longitudinal portion of the handle that configures a part of the handle. The reinforcement member may be formed by pipe material and preferably disposed inside the handle. The longitudinal portion where the reinforcement member is disposed may preferably include a fixed portion of the handle that is fixed to the main body.

Handheld work machine

An image processing device performs: acquiring image data representing an image, the image data including a plurality of sets of pixel data each having a multiple-level gradation value, each gradation value falling within a predetermined range between and inclusive of a minimum gradation value and a maximum gradation value, a predetermined number of levels of gradation value falling within the predetermined range; setting a partial range of levels of gradation value, a first number of levels of gradation value in the partial range being smaller than the predetermined number; and determining that the image is a photograph image when the image meets a first criterion that a degree of change in distribution of gradation values is smaller than a reference value, the distribution of gradation value indicating a pixel number of sets of pixel data for each level of the gradation value falling within the partial range.

Image processing device capable of determining types of images accurately

An image processing device includes a processor configured to perform: acquiring target image data representing a target image; and generating binary image data representing the letter in the target image by using the target image data. The generating of the binary image data comprises: identifying a background color value representing color of background of the target image; identifying a letter color value representing color of the letter in the target image; acquiring a difference between the background color value and the letter color value, the difference including a plurality of component differences; selecting one specific component image data corresponding to a specific component from among the plurality of components, the specific component corresponding to a maximum component difference among the plurality of component differences; and performing a binarizing process on the selected one specific component image data to generate one binary image data.

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Toyoake, Japan

Masaki Kondo