Automatic recognition of in situ marine plankton images has long been treated as an image
classification problem in machine learning. However, the deep learning-based classifiers …

Maize is one of the world's leading food supplies. Therefore, the crop's production must
continue to reproduce to fulfill the market demand. Maize is an active feeder, therefore, it …

Purpose To meet the emerging demand for fine-grained annotation and semantic
enrichment of cultural heritage images, this paper proposes a new approach that can …

Using a feature vector comprising a collection of similarity cues, Content-Based Image
Retrieval (CBIR) localizes, obtains, and displays pictures that are similar to those specified …

In the healthcare domain, various techniques available for early disease diagnosis. Nail
image analysis is one of the techniques for early stage disease diagnosis. Human fingernail …

Purpose Extracting suitable features to represent an image based on its content is a very
tedious task. Especially in remote sensing we have high-resolution images with a variety of …

The vast growth in social media platforms such as Twitter, Instagram, Whatsapp, Facebook,
etc. leads to the uploading of billions of images on the web. Content-Based Image Retrieval …

The rapid advancement and exponential evolution in the multimedia applications raised the
attentional research on content-based image retrieval (CBIR). The technique has a …

One of the famous processes for processing of image is the division of images. The name
given to this process was segmentation, which basically works on the principle of division …

Preprocessing is the first step used in all the document image analysis algorithms. A well
organized preprocessing could lead to better results of the analysis. This paper proposes a …