This paper describes an efficient algorithm for Content Based Image Retrieval (CBIR) based
on Discrete Wavelet Transform (DWT) and Edge Histogram Descriptor (EHD) feature of …

Content based image retrieval (CBIR) systems is a common recent method for image
retrieval and is based mainly on two pillars extracted features and similarity measures. Low …

Color is one of the most important low-level features used in image retrieval and most
content-based image retrievals (CBIR) systems use color as an image features. However …

Image retrieval is a challenging problem in computer vision domain. Traditional content
based image retrieval (CBIR) systems were built to retrieve images based on low level …

E-commerce is the platform where it provisions the online businesses for selling and buying.
Organizing and searching for products is a cumbersome process for service providers and …

Content based image retrieval (CBIR) is an imperative and testing errand in numerous
fields, for example, military, common, restorative and even in web applications. Here, we …

Content-based image retrieval (CBIR), as a well-known retrieval method, has been widely
used in various applications. The basis of this method is on features like color, texture and …

The most prevalent and well-used method for obtaining images from huge, unlabelled
image datasets is content-based image retrieval. Convolutional Neural Networks are pre …

The spatial dependence matrix (SDM) is used to extract the texture features from the
providedimages, and the translation invariant discrete wavelet transform (TIDWT) is used for …

Traditionally, to detect sickle cell disease, there is always the application of a microscope on
sickle cell blood smears for predicting the result of the test. Over the years, it has been …