Feature selection in image analysis: a survey
نویسندگان
چکیده
منابع مشابه
A Survey on Image Feature Selection Techniques
Image is a work of art that describes or store visual perception. That has an exactly same appearance to subject – normally a physical object or a person. Therefore, images providing a representation of real time physical objects. Additionally, representation of 2 dimensional data and their patterns analysis is basic interest of the given paper. As a part of object recognition, the image and th...
متن کاملStatistical Feature Selection for Image Texture Analysis
Texture is one of the visual features used in Content Based Image Retrieval (CBIR) to represent the contents of the image with respect to the characteristics brightness, color, shape, size, etc. Texture is a property that represents spatial distribution of an Image. Texture can be defined as a repetition of an element or pattern in a problem space. Texture analysis can be used for classificatio...
متن کاملSurvey on Feature Selection
Feature selection plays an important role in the data mining process. It is needed to deal with the excessive number of features, which can become a computational burden on the learning algorithms. It is also necessary, even when computational resources are not scarce, since it improves the accuracy of the machine learning tasks, as we will see in the upcoming sections. In this review, we discu...
متن کاملAnalysis of Feature Selection Algorithms on Classification: A Survey
The aim of this paper is to discuss about various feature selection algorithms applied on different datasets to select the relevant features to classify data into binary and multi class in order to improve the accuracy of the classifier. Recent researches in medical diagnose uses the different kind of classification algorithms to diagnose the disease. For predicting the disease, the classificat...
متن کاملA Survey on Feature Selection Algorithms
One major component of machine learning is feature analysis which comprises of mainly two processes: feature selection and feature extraction. Due to its applications in several areas including data mining, soft computing and big data analysis, feature selection has got a reasonable importance. This paper presents an introductory concept of feature selection with various inherent approaches. Th...
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: Artificial Intelligence Review
سال: 2019
ISSN: 0269-2821,1573-7462
DOI: 10.1007/s10462-019-09750-3