Anisotropic Wavelet-Based Image Nearness Measure
نویسندگان
چکیده
منابع مشابه
Anisotropic Wavelet-Based Image Nearness Measure
The problem considered in this article is how to solve the image correspondence problem in cases where it is important to measure changes in the contour, position, and spatial orientation of bounded regions. This article introduces a computational intelligence approach to the solution of this problem with anisotropic (direction dependent) wavelets and a tolerance near set approach to detecting ...
متن کاملImage Segmentation Based on Anisotropic Wavelet Transform
A new method based on directional wavelet transform and the watershed method is proposed for the segmentation of image. In this paper, more attention is paid for the efficient extraction and representation of feature associated with pixel and their classification. In order to achieve the better representation of image contents anisotropic wavelet transform is utilized. Segmented image is obtain...
متن کاملWavelet-based Image Enhancement using Nonlinear Anisotropic Diffusion
Many sensing techniques and image processing applications are characterized by random noisy, or corrupted, image data. Nonlinear Anisotropic diffusion is a popular, and theoretically well understood, technique for enhancing such images.Diffusion approaches however require the selection of an “edge stopping” function, the definition of which is typically adhoc. Many recent techniques for digital...
متن کاملWavelet Oriented Anisotropic Diffusion in Image Enhancement
In this paper, we introduce a new anisotropic diffusion partial differential equation, in which the gradients is adjusted by the wavelet transform of the solution. The new model adopts wavelet transform theory so that the numerical implementation is more effective and accurate. The existence and uniqueness of the solutions are proved. The equation can formulate image enhancement and the numeric...
متن کاملA new wavelet-based measure of image focus
We present a new measure of image focus. It is based on wavelet transform of the image and is defined as a ratio of high-pass band and low-pass band norms. We show this measure is monotonic with respect to the degree of defocusation and sufficiently robust. We experimentally illustrate its performance on simulated as well as real data and compare it with existing focus measures (gray-level vari...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computational Intelligence Systems
سال: 2009
ISSN: 1875-6891,1875-6883
DOI: 10.1080/18756891.2009.9727652