AOIPS-An interactive image processing system

نویسندگان

  • P. A. BRACKEN
  • J. T.
  • J. J. QUANN
  • J. B. BILLINGSLEY
چکیده

Prior to the fall of 1976, computer aided data analysis support for applications investigations at NASA's Goddard Space Flight Center was conducted on large scale IBM System/360 computers in a batch oriented environment without the aid of image display units. As a result, even simple image processing operations took from days to weeks to produce desired results and required numerous manual, errorprone steps to produce the desired end product. In addition, operations which required a high degree of human interaction with the image data during the information extraction process (e.g., derivation of wind fields from cloud motions in a time-lapsed series of satellite images) were not practical in the batch environment. The Atmospheric and Oceanographic Information Processing System (AOIPS) was developed to help applications investigators perform required interactive image data analysis processes rapidly and to eliminate the inefficiencies and problems encountered with the batch operation discussed above. The major AOIPS hardware components are shown in Figure 1. Initial hardware deliveries occurred in September 1975 and consisted of a PDP-11170 computer and peripherals and a modified General Electric Company Image 100 system, which included an interactive image analysis terminal and a PDP-11/45 computer. The Image 100 system was designated as AOIPS Image Analysis Terminal 1 (IATI). Two additional image analysis terminals, designed at Goddard Space Flight Center and implemented by Hazeltine Corporation, were delivered in May of 1976 and May of 1977. These terminals have been designated as AOIPS Image Analysis Terminals 2 (IAT2) and 3 (IAT3). In parallel with the hardware development activities, a series of applications software packages was developed to implement specific information extraction processes to meet established image data analysis requirements. AOIPS operations during 1976 and 1977 have demonstrated its capability to solve many operational image processing problems, and has greatly extended an investigator's ability to perform image information extraction operations in a flexible, efficient manner. SYSTEM OVERVIEW

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Paper No. 12 FOUR DIMENSIONAL OBSERVATIONS OF CLOUDS FROM GEOSYN- CHRONOUS ORBIT USING STEREO DISPLAY AND MEASUREMENT TECHNIQUES ON AN INTERACTIVE INFORMATION PROCESSING SYSTEM

Simultaneous Geosynchronous Operational Environmental Satellite (GOES) 1 km resolution visible image pairs can provide quantitative three dimensional measurements of clouds. These data have great potential for severe storms research and as a basic parameter measurement source for other areas of meteorology (e.g. climate). These stereo cloud height measurements are not subject to the errors and ...

متن کامل

Semiautomatic Image Retrieval Using the High Level Semantic Labels

Content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. The challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. Hence, in this paper, an image retrieval system is introduced that provided two kind of qu...

متن کامل

Quality Assessment of Turfgrasses Using NTEP Method Compared to an Image-Based Scoring System

The current methods of turfgrass evaluations are often based on human-based assessment methods. However, eliminating subjective errors from such evaluations is often impossible. This research compared the accuracy of human-based and digital image processing-based methods for quality assessment of turfgrasses. Four turfgrass plots were evaluated using the two mentioned methods. In the human-base...

متن کامل

Integrating Fuzzy Inference System, Image Processing and Quality Control to Detect Defects and Classify Quality Level of Copper Rods

Human-based quality control reduces the accuracy of this process. Also, the speed of decision making in some industries is very important. For removing these limitations in human-based quality control, in this paper, the design of an expert system for automatic and intelligent quality control is investigated. In fact, using an intelligent system, the accuracy in quality control is increased. It...

متن کامل

Diagnosis of brain tumor using image processing and determination of its type with RVM neural networks

Typically, the diagnosis of a tumor is done through surgical sampling, which is more precise with existing methods. The difference is that this is an aggressive, time consuming and expensive way. In the statistical method, due to the complexity of the brain tissues and the similarity between the cancerous cells and the natural tissues, even a radiologist or an expert physician may also be in er...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010