Hybrid Approach For Effective Feature Extraction Technique in Content Based Image Retrieval :A Survey

Image Processing

Content Based Image Retrieval (CBIR) is a significant and increasingly popular approach that helps in the retrieval of image data from a huge collection. Image representation based on certain features helps in retrieval process. Weather forecasting, data mining, remote sensing, medical imaging, education, crime prevention and management of earth resources are a few domains where content-based image retrieval technique is in huge demand. Content Based Image Retrieval (CBIR) is process to find similar image in the image database when a query image is given. A user gives input to the system in the form of specified query image and system return set of relevant images. In this paper we analyze different Content Based Image Retrieval techniques and their comparative study. To improve visual similarity search and image retrieval process in content-based image retrieval many studies have been conducted and methods developed in recent years, but there are a few issues that need to be addressed. To improve accuracy in terms of Precision and Recall , Ant colony Edge detection algorithm and Genetic algorithm(GA) method is used in proposed model.

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