For a binary image containing only curves (and lines) in a background infested by binary noises, (e.g., salt-and-pepper noise,) a very efficient way to extract the image data, and to save them in a very compact file f...
详细信息
ISBN:
(纸本)0819456489
For a binary image containing only curves (and lines) in a background infested by binary noises, (e.g., salt-and-pepper noise,) a very efficient way to extract the image data, and to save them in a very compact file for an accurate and complete image recall later, is very attractive to many image processing and patternrecognition systems. This paper reports the data-extraction method we developed recently for inputting a binary image to a special neural-network patternrecognition system, the noniterative, real-time learning system. We use an adaptive/tracking window to track the direction of a continuous curve in the binary image, and record the xycoordinates of all points on this curve until the window hits an end point, or a branch point, or the original starting point. By scanning this tracking window across the whole image frame, we can then segment the original binary image into many single curves. The xy's of points on each curve can then be analyzed by a curve fitting process, and the analytic data can be stored very compactly in an analog data file. This data file can be recalled very efficiently to reconstruct the original binary image, or can be used directly for inputting to a special neural network and for carrying out an extremely fast pattern learning process. This paper reports the image-processing steps, the programming algorithm, and the experimental results on this novel image extraction technique. It will be verified in each experiment by reconstructing the original image from the compactly extracted analog data file.
A fast method to detect and recognize scaled and skewed road signs is proposed in this paper. The input color image is first quantized in HSV color model. Border tracing those regions with the same colors as road sign...
详细信息
A fundamental task in patternrecognition field is to find a suitable representation for a feature. In this paper, we present a new visual speech feature representation approach that combines Hypercolumn Model (HCM) w...
详细信息
A PubMed search often returns a long list of query-related papers that a researcher cannot cope with in a short time. As a first step to address this issue by summarizing retrieved papers, we developed a system to cla...
详细信息
Multilingual speech recognition system is required for tasks that use several languages in one speech recognition application. In this paper, we propose an approach for multilingual speech recognition by spotting cons...
详细信息
The proceedings contain 102 papers. The topics discussed include: research on the bilateral negotiation algorithms of cooperative design system based on genetic algorithm;implementation and application of the distribu...
详细信息
ISBN:
(纸本)1846000025
The proceedings contain 102 papers. The topics discussed include: research on the bilateral negotiation algorithms of cooperative design system based on genetic algorithm;implementation and application of the distributed collaborative design platform based on pattern design;research on organization method of development activities for complicated product;a study of the effective protection of digital content based on real-time fingerprint recognition mechanism in the digital library;research on the negotiation mechanism of multi-agent system based on game theory;a middleware-based agent of online integrate and instant collaboration for transparent CAD applications;an operation-based exchange mechanism in heterogeneous CAD collaboration;a framework for seamless computer supported cooperative work in three-dimensional design;and the design and implementation of a novel platform for medical data visualization.
This research aims at model development for incident detection and travel time estimation using a neuro-fuzzy algorithm. Traffic incidents such as accidents, weather and construction, are a major cause of congestion. ...
详细信息
暂无评论