Thumbnail Image

Theses

Browse

20181
Reset filters
Subject: Information Technology × Author: Aeri, Manisha × Start date: 2010 × Thesis Type: M.Tech ×
Reset filters

Search Results

Now showing 1 - 1 of 1
  • Thumbnail Image
    ThesisItemOpen Access
    Performance evaluation off content based image retrieval using dwt, modified k means and neural network classification
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2018-10) Aeri, Manisha; Ashok Kumar
    The increasing need for searching relevant images in large scale databases is an active area of interest now days. The current method of text based image retrieval has many challenges as context sensitive images cannot be retrieved, the effort required to annotate each and every image manually as well as the difference in human perception while describing an image gives inaccurate and inefficient results during the retrieval process. So, Content Based Image retrieval came into picture in which the retrieval of images can be done by using the contents of an image such as color, shape or texture. In this research work we have proposed a novel approach for content based image retrieval by applying an efficient clustering algorithm i.e. Modified k means for image segmentation and we have used the concept of discrete wavelet transformation, color moments and HSV histogram for extracting image features. Artificial neural network is trained about the extracted features from the database images. The testing phase involves the querying and retrieval task in which the query images features are compared with the trained features of database images and the best matched images are retrieved from the database similar to the query image. This technique is tested by conducting experiments on WANG image dataset containing 1000 general purpose colored images in terms of precision and recall in which the proposed technique gave better results as compared to the existing techniques.