Hitachi, Ltd.

Other

Hitachi High-Tech Corporation

Shigetoshi Sakimura

Shoji Muramatsu

Kenji Hirose

Yasutaka Toyoda

Hiroyuki Shindo

Yoshiki Kobayashi

Masayoshi Ishikawa

Shinichi Shinoda

Shinya Yuda

Norito Watanabe

Shunsuke Minami

Hitoshi Sugahara

Takeshi Yokota

Kenji Araki

Masanori Miyoshi

Hiroto Morizane

Hisanori Nonaka

An object of the present invention is to achieve both suppression of data amount of an image processing system that learns a collation image to be used for image identification using a discriminator and improvement of identification performance of the discriminator. In order to achieve the above object, there is proposed an image processing system including a discriminator that identifies an image using a collation image, the image processing system further including a machine learning engine that performs machine learning of collation image data required for image identification. The machine learning engine searches for a successfully identified image using an image for which identification has been failed, and adds information, obtained based on a partial image of the image for which identification has been failed and which has been selected by an input device to the successfully identified image obtained by the search to generate corrected collation image data.

Image processing system and computer program for performing image processing

The present invention includes four types of component diagrams, namely, an input/output data memory management component diagram, an input data value setup component diagram, a library execution component diagram, and an output data value acquisition component diagram, with respect to image processing library functions for a programming language and to an input/output data structure for the image processing library functions. The present invention also includes upper-level component diagrams, which are prepared by connecting the four types of component diagrams as lower-level component diagrams in the order of use, writes an algorithm by combining the lower- and upper-level component diagrams, and executes the written algorithm. From the written algorithm, the present invention generates a programming language source code for calling an image processing library.

Image processing software development method, image processing software development device, and image processing software development program

A classifier learning image production program, method, and system are provided which are capable of efficiently acquiring learning images to be employed in development of a discrimination application, or more particularly, efficiently acquiring initial learning images to be employed in an early stage of development of a discrimination algorithm. A classifier learning image production program allows a computer to execute the steps of inputting an image; detecting a discrimination area from the inputted image, acquiring plural detected data, and recording the detected data in a storage device; integrating the plural detected data to obtain learning image candidate information, and recording the learning image candidate information as the detected data in the storage device; clipping plural learning images from the inputted images, and recording the plural learning images as learning image data in the storage device; classifying the learning images into one or more sets; and displaying the learning images on a display device.

Classifier learning image production program, method, and system

The design support system regarding the present invention comprises a node data storage means that stores node data to generate functional models which present a group of function nodes which are functions divided from performance function of apparatus which is an objective to be designed and a group of part nodes which realize the functions in mutual relations, a functional model generating means that generates the functional models in reference to the node data storage means, a node designation receiving means that receives the designation of a node among the functional models, a node selection means that selects a node which has a mutual relation with nodes to which the designation are given, a display unit that displays the node selected by the node selection means.

Support system

Design support system

The information processing apparatus for project management comprises: a function of displaying on a screen a task areawhere a symbolrepresenting a document relating to a task constituting a project is displayed; and a function of performing document work according to an operation instruction for the symbolrepresenting the document displayed in the task area. The task areahas a work areawhich displays a symbolrepresenting the document, and an output area. When a symbolrepresenting a document is moved within the output area, the output areadisplays a symbol representing the document in a task area of another associated task constituting the project.

Information processing apparatus for project management and its computer software

An image processing apparatus is composed of a plurality of function processing units for performing image processing, a high priority function selection part for selecting functions, execution of each of which is required by a corresponding one of the function processing units, based on the predetermined priority for each of the functions; and a data control unit including a data transfer part for preferentially accessing the shared memory which the function selected by the high priority function selection part requires, and a plurality of data holding parts, each of the data holding parts holding a predetermined amount of data transmitted with each of the plurality of function processing units, wherein the data transfer part controls the bus connecting the CPU and the shared memory based on requirement sent from each of the function processing units, and each of the plurality of function processing units transmits data with the data control unit separately from the others of the plurality of function processing units, and executes its function in parallel to the others of the plurality of function processing units.

Image processing apparatus and image processing system using the apparatus

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Hitachi, Japan

Shigetoshi Sakimura