Fuzzy ADALINEs for gray image recognition

نویسندگان

  • Biswajit Paul
  • Amit Konar
  • Ajit K. Mandal
چکیده

The paper aims at extending the scope of application of Widrow-Hoff ’s ADALINE model from binary to gray-level (fuzzy) pattern recognition. The condition of stability for the extended ADALINE model has been derived and the algorithm for training the multilayered feedforward neural net consisting of ADALINE neurons have been presented. The time required for training the neural net is insignificantly small. Moreover, the scheme for the recognition of objects from their gray level images, using fuzzy ADALINE model, is translation, rotation and size invariant. ( 1999 Elsevier Science B.V. All rights reserved.

برای دانلود 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

A comparative performance of gray level image thresholding using normalized graph cut based standard S membership function

In this research paper, we use a normalized graph cut measure as a thresholding principle to separate an object from the background based on the standard S membership function. The implementation of the proposed algorithm known as fuzzy normalized graph cut method. This proposed algorithm compared with the fuzzy entropy method [25], Kittler [11], Rosin [21], Sauvola [23] and Wolf [33] method. M...

متن کامل

Fuzzy Edge Filter-Edge Detection and Feature Extraction Technique for Any JPEG Image

Edge detection is a terminology in image processing and computer vision, particularly in the areas of feature detection and feature extraction, to refer to algorithms which aim at identifying points in a image. This paper highlights the ways to detect edges at five different levels which will help in pattern recognition and feature extraction with the use of fuzzy logic a method well known in A...

متن کامل

Segmentation of MR Brain Images : A Fuzzy Logic Approach

An approach is developed to MR brain images segmentation, based on pixel classification using Fuzzy Rule Based system and Fuzzy Similarity measures. The cerebral images are segmented into gray matter, white matter, and cerebrospinal fluid (CSF). Image preprocessing was first done to improve the quality of brain MR images and reducing artifacts. The feature vector was selected to be the pixel an...

متن کامل

A review on image segmentation techniques

-Many image segmentation techniques are available in the literature. Some of these techniques use only the gray level histogram, some use spatial details while others use fuzzy set theoretic approaches. Most of these techniques are not suitable for noisy environments. Some works have been done using the Markov Random Field (MRF) model which is robust to noise, but is computationally involved. N...

متن کامل

Visualization of License Plate Recognition System

The image of the license plate is located and segmented by some digital-image processing technologies such as gray-scale processing, gray-scale stretching and filtering, edge detection, morphological processing, Hough transformation etc. According to the characteristics of the license plate, binary matrix of character image sets the fuzzy matrix, and based on the principle of proximity computin...

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

برای دانلود 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

عنوان ژورنال:
  • Neurocomputing

دوره 24  شماره 

صفحات  -

تاریخ انتشار 1999