Image processing is the field of signal processing where both the input and output signals are images. Images can be thought of as two-dimensional signals via a matrix Continue reading
Image enhancement is a task of applying certain transformations to an original image for obtaining output image visually more pleasant, more detailed, or less noisy. The transformation usually requires Continue reading
This feature is made available to public for interaction with police indirectly. This system registers the complaints from people through online and is helpful to the police department Continue reading
There are two types of structures in human body, solid organs and hollow membrane like organs. Brain, liver and other soft tissues such as tendons, muscles, cartilage etc., are examples of solid organs. Colon and blood vessels are examples of hollow organs. They greatly differ in structure and Continue reading
The usage of automatic fingerprint identification systems as a means of identification and/or verification have increased substantially during the last couple of years. It is well known that small deviations may occur within Continue reading
KTH, Division of Neuronic Engineering, have a finite element model of the head. However, this model does not contain detailed modeling of the brain. This project consists of finding a method to extract brain tissues from Continue reading
In this Project, 3D image segmentation is targeted to a Xilinx Field Programmable Gate Array (FPGA), and verified with extensive simulation. Segmentation is performed using the Expectation-Maximization with Maximization of the Posterior Marginals (EM/MPM) Bayesian algorithm. This algorithm segments the 3D image using Continue reading
Steganography is the practice of hiding private or sensitive information within something that appears to be nothing out to the usual. Many different carrier file formats can be used, but digital images are the most popular because of their frequency on the internet.
For hiding secret information in images, there exists a large variety Continue reading
A major approach for fingerprint recognition today is to extract minutiae from fingerprint images and to perform fingerprint matching based on the number of corresponding minutiae pairings. One of the most difficult problems in fingerprint recognition has been that the recognition performance is significantly influenced by fingertip surface condition, which may vary depending on environmental or personal causes.
Addressing this problem, this paper presents a fingerprint recognition algorithm using Continue reading