Optimization Technique of Association with ACO for High Resolution Image Classification: Survey

نویسندگان

  • Deepika Goyal
  • Shruti Grover
چکیده

Data mining is a process of discovering patterns and relationships in data with the help of various data analysis tools, to make valid predictions. Association rule learning which finds the relationships between the variables. Association rules are important features for image classification, mining and rational selection to obtain accurate classification. In this paper, it is an approach to present association rules analysis & ACO together and applied to object-oriented of high resolution image classification. Sometimes association rule is referred to as market basket analysis. Classification is the task of classify the new data by using classification algorithm. In this paper I work on the implementation of optimization algorithm (ACO) based on artificial intelligent scheme for finding more optimal rules for classification. KeywordsAssociation rule, Apriori algorithm, ACO (Ant Colony Optimization Algorithm), Classification of high

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

Object-Oriented Method for Automatic Extraction of Road from High Resolution Satellite Images

As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...

متن کامل

Noisy images edge detection: Ant colony optimization algorithm

The edges of an image define the image boundary. When the image is noisy, it does not become easy to identify the edges. Therefore, a method requests to be developed that can identify edges clearly in a noisy image. Many methods have been proposed earlier using filters, transforms and wavelets with Ant colony optimization (ACO) that detect edges. We here used ACO for edge detection of noisy ima...

متن کامل

Object-Based Classification of UltraCamD Imagery for Identification of Tree Species in the Mixed Planted Forest

This study is a contribution to assess the high resolution digital aerial imagery for semi-automatic analysis of tree species identification. To maximize the benefit of such data, the object-based classification was conducted in a mixed forest plantation. Two subsets of an UltraCam D image were geometrically corrected using aero-triangulation method. Some appropriate transformations were perfor...

متن کامل

Ant Colony Optimization in Diverse Engineering Applications: an Overview

Ant Colony Optimization (ACO) is a technique that was introduced in the early 1990’s and it is inspired by the foraging behavior of ant colonies. ACO algorithms have long been thought as generating high quality solutions for various problems in different Engineering Applications. This survey provides an overview of past and on-going research of ACO in diverse engineering applications pertaining...

متن کامل

Evaluation of the performance of parallel-hole collimator for high resolution small animal SPECT: A Monte Carlo study

Introduction: Image quality and accuracy of in vivo activity quantification in SPECT are affected by collimator penetration and scatter components, especially in high energy imaging. These phenomena highly depend on the collimator characteristic and photon energy. The presence of penetrated and scattered photons from collimator in SPECT images degrades spatial resolution, contr...

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:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014