Masao Takatoo

Detection of objects including persons using image processing

We studied methods for observing objects including persons. First, we clarified the limit of exponential smoothing using fixed point operations executed by general image processors, then we proposed a method for detecting objects that are left in a crowd using exponential smoothing with accumulation of binarized images. The experimental results of left objects detection had a higher than 90% recognition rate. Finally, we proposed a doubtful objects detection method by analyzing objects movements. We clarified the suitability of the proposed method by experiments.

Automated Fabric Inspection System Using Image Processing Technique

Conventional fabric inspection systems can detect defects of plain cloth, but not defects of some patterned cloth. Also their maintenance is rather difficult, since a laser scanning technique is commonly employed. Some conventional systems use an electronic scanning technique with line sensors (one-dimensional sensors). But because they use only a binary image processing technique, adapting themselves to changes in cloth brightness is difficult. In this paper, we describe the structure of an automated fabric inspection system and image processing algorithms that solve the above problems, and show some examples of defect detection. The system features are as follows: (1) Two-dimensional patterns are processed, thus not only soiled plain cloth, but also dyeing defects of cloth with polka dots, striped and checked patterns can be detected. (2) Even if the cloth brightness changes, dirt on the cloth can be detected correctly, because the gray level image processing technique is employed. (3) The detection algorithms are based on calculating an average or a standard deviation of the features such as brightness, shapes or sizes of the inspected objects. (4) Since the image processors save the images of the defects data in their image memories the system can get the necessary data such as shapes and sizes of the defects.

VEHICLE EXTRACTION USING SPATIAL DIFFERENTIATION AND SUBTRACTION

In this paper we propose a method, which is executable on todays commercially available image processors, for extracting vehicles. The method is summarized as follows: (1) First, the method generates an initial background image by extracting a background region using logical OR operations among sequentially inputted and subtracted images. (2) Second, on the basis of the change ratio of the brightness of visible road surface, the method dynamically updates the background image by estimating brightness of road surface regions hidden by vehicles. (3) Finally, the method extracts the vehicles using images subtracted by the background image and spatially differentiated images. In preliminary experiments we obtained a good background image by updating it with moving shadows, even under bad conditions at dusk. Furthermore, we had good accuracy in traffic flow measurements, with more than a 95% recognition rate of vehicles and only 3% overdetection. We confirmed the effectiveness of the method by the above evaluation experiments.

Leakage detection system using image processing

We have developed a prototype system for leakage detection using image processing. The system detects oil, water, or vapor leaks from plant components at power plants. Its features are summarized as follows: (1) By setting the first sampled image of the scene as the reference image and storing another type of reference image as a form of an x-projection, leakage detection for oil or water, even in a steady flow, was realized; (2) Mis-detection of oil or water leaks, due to effects from vibrations of plant components and cameras could be eliminated by using non-vibrating monitoring regions; and (3) Leakage detection for oil or water required at least 200 (1X) brightness at the measured objects and a 550 X 418 (mm) vision range, while vapor leakage detection could be done in a 5000 X 3800 (mm) vision range.

G9.1: Software Architecture Display Terminal with Picture Generation of a Graphic Interactive Capability

Abstract Graphic display terminals are being increasingly used for improving the quality of man-machine communications in various applications and development of several graphic terminals has been announced. In summing up the needs of the graphic display terminal, they are (1) higher intelligence of the terminal, that is to say, reducing loads on the host computer; (2) quick response of the terminal; and (3) easy use of the terminal. In order to satisfy these requirements, we have developed a prototype of a color graphic display terminal. In this paper, we describe the approach taken, the functions which the terminal has, and also the evaluation of functional allotment between two processors. Finally, some applications for this graphic display terminal are presented

SOFTWARE ARCHITECTURE OF A GRAPHIC DISPLAY TERMINAL WITH INTERACTIVE PICTURE GENERATION CAPABILITY

Abstract Graphic display terminals are being increasingly used for improving the quality of man-machine communications in various applications and development of several graphic terminals has been announced. In summing up the needs of the graphic display terminal, they are (1) higher intelligence of the terminal, that is to say, reducing loads on the host computer; (2) quick response of the terminal; and (3) easy use of the terminal. In order to satisfy these requirements, we have developed a prototype of a color graphic display terminal. In this paper, we describe the approach taken, the functions which the terminal has, and also the evaluation of functional allotment between two processors. Finally, some applications for this graphic display terminal are presented.