Modified Evolutionary Autonomous Agents Approach to Image Feature Extraction
نویسندگان
چکیده
منابع مشابه
An evolutionary autonomous agents approach to image feature extraction
| This paper presents a new approach to image feature extraction which utilizes evolutionary autonomous agents. Image features are often mathematically deened in terms of the gray-level intensity at image pixels. The optimality of image feature extraction is to nd all the feature pixels from the image. In the proposed approach, the autonomous agents, being distributed computational entities, op...
متن کاملAn Evolutionary Autonomous Agents Approach To Image Feature Extraction - Evolutionary Computation, IEEE Transactions on
This paper presents a new approach to image feature extraction which utilizes evolutionary autonomous agents. Image features are often mathematically defined in terms of the graylevel intensity at image pixels. The optimality of image feature extraction is to find all the feature pixels from the image. In the proposed approach, the autonomous agents, being distributed computational entities, op...
متن کاملFeature Extraction to Polar Image
Some algorithms of feature extraction in existing literature studied for image processing was the gray image with one-dimensional parameter. However, some feature points’ extraction for three-dimensional color of polar image, such as the color edge extraction, inflection points, and so on, was urgently to be solved a polar color problem. For achieving quickly and accurately the color feature ex...
متن کاملImage Feature Detection and Extraction using Modified Invariance Edge Detection
Feature detection, extraction and representation are important steps for multimedia processing. Extracting ideal features that reflect the intrinsic and core content of the images in a complete form is still a challenging problem in computer vision systems. However, less research time has been given to this problem in the last few decades. In this paper, our review shows development made in ima...
متن کاملFeature Extraction for Autonomous Navigation
This work describes techniques using sonar sensors for environmental feature detection and identiication. By detecting common features in indoor environments and using them as landmarks , a robot can navigate reliably, recovering its pose when necessary. Results using a multiple hypothesis testing procedure for feature localization and identiication show that accurate feature information can be...
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 Computer Applications
سال: 2013
ISSN: 0975-8887
DOI: 10.5120/12222-8371