Application of the topological gradient method to color image restoration and classification

نویسندگان

  • Didier Auroux
  • Lamia Jaafar Belaid
چکیده

The goal of this note is to generalize the topological gradient method, applied to restoration and classification problems for grey-level images, to color images. We illustrate our approach with numerical tests. Résumé Application de la méthode du gradient topologique au traitement d’images couleur. Le but de cette note est de généraliser l’approche du gradient topologique, appliquée au problème de la restauration et de la classification d’images en niveaux de gris, à des images couleur. Quelques tests numériques sont présentés pour illustrer cette approche.

برای دانلود رایگان 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

An Overview of the Topological Gradient Approach in Image Processing: Advantages and Inconveniences

Image analysis by topological gradient approach is a technique based upon the historic application of the topological asymptotic expansion to crack localization problem from boundary measurements. This paper aims at reviewing this methodology through various applications in image processing; in particular image restoration with edge detection, classification and segmentation problems for both g...

متن کامل

Image Restoration Andclassification by Topo- Logical Asymptotic Expansion

We present in this paper a new way for modeling and solving image restoration and classification problems, the topological gradient method. This method is considered in the frame of variational approaches and the minimization of potential energy with respect to conductivity. The numerical experiments show the efficiency of the topological gradient approach. The image is most of the time restore...

متن کامل

Modified CLPSO-based fuzzy classification System: Color Image Segmentation

Fuzzy segmentation is an effective way of segmenting out objects in images containing both random noise and varying illumination. In this paper, a modified method based on the Comprehensive Learning Particle Swarm Optimization (CLPSO) is proposed for pixel classification in HSI color space by selecting a fuzzy classification system with minimum number of fuzzy rules and minimum number of incorr...

متن کامل

Robust Method for E-Maximization and Hierarchical Clustering of Image Classification

We developed a new semi-supervised EM-like algorithm that is given the set of objects present in eachtraining image, but does not know which regions correspond to which objects. We have tested thealgorithm on a dataset of 860 hand-labeled color images using only color and texture features, and theresults show that our EM variant is able to break the symmetry in the initial solution. We compared...

متن کامل

The topological gradient method for semi-linear problems and application to edge detection and noise removal

The goal of this paper is to apply the topological gradient method to edge detection and noise removal for images degraded by various noises and blurs. First applied to edge detection for images degraded by a Gaussian noise, we propose here to extend the method to blurred images contaminated either by a multiplicative noise of gamma law or to blurred Poissonian images. We compute, both for perf...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007