Meta-Heuristics Based Arf Optimization for Image Retrieval
نویسندگان
چکیده
منابع مشابه
A Modified Grasshopper Optimization Algorithm Combined with CNN for Content Based Image Retrieval
Nowadays, with huge progress in digital imaging, new image processing methods are needed to manage digital images stored on disks. Image retrieval has been one of the most challengeable fields in digital image processing which means searching in a big database in order to represent similar images to the query image. Although many efficient researches have been performed for this topic so far, t...
متن کاملA Radon-based Convolutional Neural Network for Medical Image Retrieval
Image classification and retrieval systems have gained more attention because of easier access to high-tech medical imaging. However, the lack of availability of large-scaled balanced labelled data in medicine is still a challenge. Simplicity, practicality, efficiency, and effectiveness are the main targets in medical domain. To achieve these goals, Radon transformation, which is a well-known t...
متن کاملHeuristics for Image Retrieval Using Spatial Configurations
This paper describes a strategy for content-based image retrieval via spatial configuration of objects within an image. The proposed strategy locates “pattern” images within “text” images, where the objects in each image are specified only in terms of their pairwise spatial relationships. Thus both pattern and text are represented by square matrices whose elements are drawn from an “alphabet” o...
متن کاملGlobal Optimization and Meta-heuristics
This article describes the origin and significant developments associated with the field of meta-heuristics as they relate to global optimization. Meta-heuristics provide a means for approximately solving complex optimization problems. These methods are designed to search for global optima; however, they cannot guarantee that the best solution found after termination criteria are satisfied is i...
متن کاملContent Based Image Retrieval Method using Fuzzy Heuristics
Content based image retrieval (CBIR) refers to image content that is retrieved directly, by which the images with features or containing certain contents will be searched in an image database. The main idea of CBIR is to analyze image information by low level features of an image, which includes color, texture, shape and space relationship of objects etc., and to set up feature vectors of an im...
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 Science, Engineering and Information Technology
سال: 2012
ISSN: 2231-3605
DOI: 10.5121/ijcseit.2012.2215