Here we developed a MATLAB based Graphical User Interface for people to check the information of desired books in real-time. The GUI allows user to take photos of the book cover. Then it will automatically detect features of the input image based on MSER algorithm, then it will filter out non-text features based on morphological difference between text and non-text regions. In order to further ...

The invariant feature detectors are essential components in many computer vision applications, such as tracking, simultaneous localization and mapping (SLAM), image search, machine vision, object recognition, 3D reconstruction from multiple images, augmented reality, stereo vision, and others. However, it is very challenging to detect high quality features while maintaining a low computational ...

Digital Forensic is a branch of forensic science which is related to computer crime. It deals with the investigation and recovery of material found in digital devices. Digital images and videos are the most important part of digital forensics as they are the prime evidences in law issues or in mass media. So the loyalty of the digital image is important. Due to the rapid increase and easy acces...

Generally, the images captured by Camera has many different shapes, sizes, colours, text, non-text etc regions which very complex the Camera-based scene images usually have background which is very complex. The existing system is very sensitive to font scale changes and background interference with low accuracy. The most important aim of this system is based on character recognition method. Sep...

Email: [email protected] [email protected] Abstract: Content-Based Image Retrieval (CBIR) has received an extensive attention from researchers due to the rapid growing and widespread of image databases. Despite the massive research efforts consumed for CBIR, the completely satisfactory results have not yet been attained. In this article, we offer a new CBIR technique that relies on extracting...

Automatic image registration is a vital yet challenging task, particularly for remote sensing images. A fully automatic registration approach which is accurate, robust, and fast is required. The registration process is divided into six main steps: feature detection, feature extraction, feature matching, outlier detection and removal, transform model estimation and resampling. In the feature det...

In this paper, we present a new application of image segmentation algorithms and an adaptation of the image segmentation method of Tavakoli et al. to the problem of vegetation segmentation. While the traditional goal of image segmentation is to provide a figure/ground segmentation for object recognition or semantic segmentation to assist humans, we propose to use image segmentation in order to ...