A survey on feature extraction techniques for color images
Sanjay Kumar, Ankur Singh Chauhan · 2014
The applications of machine learning and data analysis are rapidly increases. In such kind of applications multimedia data is compared for storage. In addition of that during retrieval and search a significant amount of resources are consumed by these methods. Nowadays various applications are available that claim to extract the accurate information from such colored image databases with less computational cost. In addition of that each image of data includes different information, thus for preserving the query relevant information from search content based methods are appropriate for image data search. During information extraction based on the content of images various kinds of feature extraction techniques are available. These techniques lead to provide the information with fewer amounts of storage and less computational cost. This presented work focus on the information reflected by various feature extraction techniques and where they can be easily adaptable. The given technique is further utilized in different application such as object detection using multimedia data base.