Showing papers on "Image file formats published in 1983"

Medical Image Distribution, Storage, And Retrieval Network: The M/NET

Abstract: The M/NET is a local area network designed for diagnostic image distribution, storage & retrieval. The M/NET uses a broadband coaxial cable (CATV) to connect multiple remote user stations and various imaging devices. The M/NET allows instant retrieval of images and information by any of the user stations. The traditional film file room is replaced by electronic archiving center(s) thus eliminating the bottleneck of manual image handling. The M/NET standard image format is 512 x 512 pixels by 8 bits (256 levels of grey). This number of pixels per image is expandable to higher resolutions. The above format provides an economical means of electronic storage on an erasable magnetic disk. Archival storage is done on a read-after-write-once optical laser disk. With either medium, the retrieval time is minimized by computer controlled search and access. On-line image retrieval takes less than one second per image. Due to economical reasons the on-line storage does not exceed the equivalent of one week's work, or about 5,000 images. Retrieval times from the archival storage are under 10 seconds per image. The M/NET system is currently designed to handle a library of 150,000 images. Its modular design allows easy expansion to a volume of over 1.5 million. At the time of this writing, the first installation is underway in a major hospital center.© (1983) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

Image file system

Abstract: PURPOSE:To utilize a home video tape recorder as an external storage device for image information and realize the effective utilization with a small-sized device by providing a coordinate input device imaging means, etc. CONSTITUTION:An instruction input mode is made up a table for image information processing. A CPU1 fetches a processing instruction inputted from a tablet device 4 according to this mode and executes the instruction. For example, an image information is obtained from an information (coordinate information) of a handwritten line pattern and inputted to a processor body. Further, when an instruction indicates the storage of the image information, it is written in the VTR7 as the external storage device. When it is retrieved,the image information stored in the VTR7 is retrieved and displayed on a CRT monitor. Thus, the coordinate input device and VTR are used to process the image information effectively by the small-sized device.

Image random file access routines

Abstract: In any large image processing system a set of routines that access the image data is vital. This paper discusses the required image access routines. This set of routines maintains a file format called SIF (standard image format) that is a structured random access file storing both pixel data and image processing history information. The image access routines are built on top of the kernel, an “operating system” set of routines which is fully described in “An operating system interface for transportable image processing software,” Computer Vision, Graphics, and Image Processing , 23 , July 1983.

A distribution system for digital images from diverse image sources : Incorporating a local area network in an imaging environment

Abstract: This paper proposes a unified image-processing and viewing system as a viewing station and initially as the central file server in a unified digital image distribution and processing network, linking various digital image sources through a high speed data link and a common image format. The network allows for viewing and processing of all images produced within the complex and for locating viewing stations in any number of convenient areas. The system proposed can be slowly expanded to include all the digital images produced within the department of institution.

Image information outputting method of image file device

Abstract: PURPOSE: To obtain an easy-to-use image file by inputting the direction and size of image information in an index during the registration of an image, and controlling output information on the basis of the information and matching the result with an output format CONSTITUTION: A control part 1 which controls the whole image file device connects with an index memory 4, read part 5, small-storage data memory 6 wherein image information is recorded, printer part 7, display part 8, and keyboard 9 respectively through a data bus 2 and a control bus 3 When the image information is registered, the size and direction of an original are inputted on the keyboard part 9 and the read part 5 scans on the original Then, scanned image information is displayed Simultaneously, it is displayed and recorded in a system operation area at the same time Index information is inputted on the keyboard part for retrieval, and then the index of an image is retrieved and displayed COPYRIGHT: (C)1984,JPO&Japio

Three-Dimensional Feature Extraction.

Abstract: : Range images offer a significant advantages over passive reflectance images because they preserve the 3-D information of the scene viewed from the sensor. Therefore, range data is becoming an increasingly important source of information for a variety of applications including 3-D target classification, autonomous vehicles, and robot vision. This research is part of an effort to develop a 3-d object recognition system for vehicle objects in air-to-ground laser range imagery. The full system includes image feature extraction, object modeling, model-driven prediction, and feature to model matching. This paper presents several three-dimensional feature extraction techniques for use on laser range imagery. These include object-ground segmentation, projection image generation from range data, and 3-D physical edge detection. We emphasize extracting 3-D physical features of the object from 3-D range data without restricting ourselves in a sensor-centered range image format. The object-ground segmentation and projection image generation techniques extract global object features from range data, and are useful for object orientation estimation and major structures identification. The 3-d physical edge detector directly calculates the physical angle of the object surface. It is not only useful for physical edge (convex, concave, occluding) detection, but also provides useful information for extracting planar and curved surfaces.

Microcomputer supporting system

Abstract: PURPOSE:To realize a microcomputer supporting system where the programming process and the debugging process are synthesized by returning a program after debugging to a host machine through an emulator. CONSTITUTION:An execution image file generated on a host machine HM2 is loaded to a memory of a target machine TMa 4A through a standard interface INFa 3A by an emulator interface software EMIF200 and is debugged. The result is returned to the programming process. In the HM2, the debugging result is inserted to a source file, and the execution image file is compiled, assembled, and linked and is loaded to a memory of a TMa 5A. The final corrected execution image file in the memory of the TMa 5A is stored in a disc file DKFL1 through an emulator EMa 4A, the INFa 3A, and the HM2.