Invariant Image Recognition by Zernike Moments

نویسندگان

  • Alireza Khotanzad
  • Yaw Hua Hong
چکیده

This correspondence addresses the problem of rotation, scale, and translation invariant recognition of images. A new set of Manuscript received August 29, 1988; revised October 13, 1989. Recommended for acceptance by C. Y. Suen. This work was supported in part by the Defense Advanced Research Projects Agency under Grant MDAA. Khotanzad is with the Image Processing and Analysis Laboratory, Department of Electrical Engineering, Southern Methodist University, Dallas, TX 75275. Y. H. Hong was with the Image Processing and Analysis Laboratory, Department of Electrical Engineering, Southern Methodist University, Dallas, TX 75275. He is now with Texas Instruments Incorporated, Dallas, TX . 903-86-C-0182. IEEE Log Number 8933763. __

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

Pseudo Zernike Moment-based Multi-frame Super Resolution

The goal of multi-frame Super Resolution (SR) is to fuse multiple Low Resolution (LR) images to produce one High Resolution (HR) image. The major challenge of classic SR approaches is accurate motion estimation between the frames. To handle this challenge, fuzzy motion estimation method has been proposed that replaces value of each pixel using the weighted averaging all its neighboring pixels i...

متن کامل

Invariant Image Watermarking Using Accurate Zernike Moments

problem statement: Digital image watermarking is the most popular method for image authentication, copyright protection and content description. Zernike moments are the most widely used moments in image processing and pattern recognition. The magnitudes of Zernike moments are rotation invariant so they can be used just as a watermark signal or be further modified to carry embedded data. The com...

متن کامل

Orthogonal Fourier-Mellin moments for invariant pattern recognition

Received July 7, 1993; revised manuscript received November 22, 1993; accepted December 14, 1993 We propose orthogonal Fourier-Mellin moments, which are more suitable than Zernike moments, for scaleand rotation-invariant pattern recognition. The new orthogonal radial polynomials have more zeros than do the Zernike radial polynomials in the region of small radial distance. The orthogonal Fourier...

متن کامل

On Pattern Classification Using Statistical Moments

Selecting appropriate feature extraction method is absolutely one of the most important factors to archive high classification performance in pattern recognition systems. Among different feature extraction methods proposed for pattern recognition, statistical moments seem to be so promising. Whereas theoretical comparison of the moments is too complicated, in this paper, an experimental evaluat...

متن کامل

Translation invariants of Zernike moments

Moment functions de0ned using a polar coordinate representation of the image space, such as radial moments and Zernike moments, are used in several recognition tasks requiring rotation invariance. However, this coordinate representation does not easily yield translation invariant functions, which are also widely sought after in pattern recognition applications. This paper presents a mathematica...

متن کامل

Object recognition using a neural network and invariant Zernike features

In this paper, a neural network (NN) based approach for translation, scale, and rotation invariant recognition of objects is presented. The utilized network is a Multi-Layer Perceptron (MLP) classifier with one hidden layer. The back-propagation learning is used for its training. The image is represented by rotation invariant features which are the magnitudes of the Zernike moments of the image...

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:
  • IEEE Trans. Pattern Anal. Mach. Intell.

دوره 12  شماره 

صفحات  -

تاریخ انتشار 1990