# Comparative analysis and classification of features for image models

@article{Gurevich2006ComparativeAA, title={Comparative analysis and classification of features for image models}, author={Igor B. Gurevich and Irina Koryabkina}, journal={Pattern Recognition and Image Analysis}, year={2006}, volume={16}, pages={265-297} }

This study has been conducted in the framework of developing one of the directions of descriptive approach to image analysis and recognition, and it is devoted to one of the main tools of this approach, namely, the use of formal image models in solving recognition problems. We systematized the image features widely used in solving applied problems of image analysis and recognition. It is well known that the mathematical nature and functional meaning of these features, as well as computational…

## 39 Citations

### On Image Representing in Image Analysis

- Computer ScienceIMTA
- 2015

The paper presents and discusses the main results obtained using the Descriptive Approach to Analysing and Understanding of Images when solving fundamental problems of the formalization and systematization of the methods and forms of representing information in the problem of the analysis, recognition, and understanding of images.

### Descriptive Models of Information Transformation Processes in Image Analysis

- Computer SciencePattern Recognition and Image Analysis
- 2021

This article is devoted to the basic models of descriptive image analysis, which is the leading section of the modern mathematical theory of image analysis and recognition of automated extraction of information from images necessary for making intelligent decisions.

### Descriptive image analysis: Genesis and current trends

- Computer SciencePattern Recognition and Image Analysis
- 2017

The main subgoals of the paper are to set forth the-state-of-the-art of the mathematical theory of image analysis, to consider the algebraic approaches and techniques suitable for image analysis; and to present a methodology for automation of image mining on the basis of the descriptive approach to image analysis (DAIA).

### Current Trends in Mathematical Image Analysis - A Survey

- Computer ScienceIMTA
- 2015

The main task of the survey is to explain and discuss the opportunities and limitations of algebraic approaches in image analysis, designing of a unified scheme for representation of objects under recognition and its transforms in the form of certain algebraic structures.

### WND-CHARM: Multi-purpose image classification using compound image transforms

- Computer SciencePattern Recognit. Lett.
- 2008

### Descriptive Image Analysis. Foundations and Descriptive Image Algebras

- Computer ScienceInt. J. Pattern Recognit. Artif. Intell.
- 2019

The paper is devoted to Descriptive Image Analysis (DA) — a leading line of the modern mathematical theory of image analysis. DA is a logically organized set of descriptive methods, mathematical…

### Unsupervised Detection of Outlier Images Using Multi-Order Image Transforms

- Computer Science
- 2013

Experimental results show that features extracted from multi-order image transforms can be used to automatically detect peculiar images in an unsupervised fashion in different image datasets, and can been used to find uncommon or peculiar imagesIn large datasets in cases where the target image of interest is not known.

### Evaluation of the Informativeness of Multi-order Image Transforms

- Computer Science, MathematicsIPCV
- 2009

Experimental results show that image features extracted from first and second order of compound image transforms can in some cases be more informative than the image features extracting from the raw pixels, and can significantly contribute to the classification accuracy.

### Semi-Supervised Feature Transformation for Tissue Image Classification

- Computer SciencePloS one
- 2016

This paper proposes a semi-supervised feature transformation method, which is formulated as a natural coupling of principal component analysis (PCA) and linear discriminant analysis (LDA) in the framework of graph-embedding.

### Large Scale Image Classification Based on CNN and Parallel SVM

- Computer ScienceICONIP
- 2017

A novel image classification method that combines CNN and parallel SVM is proposed that can improve the classification accuracy and efficiency markedly and the efficiency of the proposed method is illustrated through examples analysis.

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