Knowledge-based assistant for the selection of edge detectors
نویسندگان
چکیده
This paper summarizes a system, called SED ‘‘Selection of Edge Detectors’’, which is able to automatically select edge detectors and their scales to extract a given edge. The basic organization of the SED system is a collection of edge detectors within a knowledge structure made up of the characteristics of the given edge, the properties of the detectors and the mutual relation between them. Combination of this information in the selection process provides a basis for avoiding a combinatorial search for appropriate edge detectors. The version of the system described here has been fully implemented and is now being enriched to integrate a maximum of edge detector algorithms. We illustrate our approach by an example. ( 1998 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved Edge detection Selection of edge detectors Rule-based system
منابع مشابه
Negative Selection Based Data Classification with Flexible Boundaries
One of the most important artificial immune algorithms is negative selection algorithm, which is an anomaly detection and pattern recognition technique; however, recent research has shown the successful application of this algorithm in data classification. Most of the negative selection methods consider deterministic boundaries to distinguish between self and non-self-spaces. In this paper, two...
متن کاملQuad-pixel edge detection using neural network
One of the most fundamental features of digital image and the basic steps in image processing, analysis, pattern recognition and computer vision is the edge of an image where the preciseness and reliability of its results will affect directly on the comprehension machine system made objective world. Several edge detectors have been developed in the past decades, although no single edge detector...
متن کاملQuad-pixel edge detection using neural network
One of the most fundamental features of digital image and the basic steps in image processing, analysis, pattern recognition and computer vision is the edge of an image where the preciseness and reliability of its results will affect directly on the comprehension machine system made objective world. Several edge detectors have been developed in the past decades, although no single edge detector...
متن کاملتخمین وفقی مرز کلاتر در کلاتر‌های ویبول با استفاده از پیش آشکارساز UMPI
In radar detection, the existence of the clutter edge in the reference samples considerably degrades the performance of the detector. Hence, clutter edge estimation not only improves the CFAR detectors, but also can be used for partitioning the various areas of the clutter in the clutter map. In this paper, we propose an adaptive algorithm for detecting the clutter edge between two Weibull clut...
متن کاملThe selection of edge detectors using local image structure
This paper summarizes a system, called SED, "Selection of Edge DetectorsN, which is able to automatically select edge detectors and their scales to extract a given edge. The basic organization of the SED system is a collection of edge detectors within a knowledge structure about the characteristics of the given edge, the properties of the detectors and the mutual relation between them. The comb...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Pattern Recognition
دوره 31 شماره
صفحات -
تاریخ انتشار 1998