|Total results: 507||
|Research Developments in Computer Vision and Image Processing: Methodologies and Applications
Rajeev Srivastava, S. K. Singh, K. K. Shukla.
Similar to the way in which computer vision and computer graphics act as the dual fields that connect image processing in modern computer science, the field of image processing can be considered a crucial middle road between the vision and graphics fields.
Research Developments in Computer Vision and...
Image Representation Using a Sparsely Sampled Codebook for Super-Resolution
Hwa-Young Kim, Rae-Hong Park, Ji-Eun Lee.
In this chapter, the authors propose a Super-Resolution (SR) method using a vector quantization codebook and filter dictionary. In the process of SR, we use the idea of compressive sensing to represent a sparsely sampled signal under the assumption that a combination of a small number of codewords can...
3D Reconstruction Using Multiple View Stereo and a Brief Introduction to Kinect
This chapter deals with the methodology of 3D reconstruction, both sparse and dense. The basic properties of the projective geometry and the camera models are introduced to understand the preliminaries about the subject. A more detail can be found in the book (Hartley & Zisserman, 2000). The sparse...
An Introduction to Wavelet-Based Image Processing and its Applications
Mahesh Kumar H. Kolekar, G. Lloyds Raja, Somnath Sengupta.
This chapter gives a brief introduction of wavelets and multi-resolution analysis. Wavelets overcome the limitations of Discrete Cosine Transform and hence found its application in JPEG 2000. In wavelet transform, the scaling functions provide approximations or low-pass filtering of the signal and the...
Computational Models of Visual Attention: A Survey
Even the enormous processing capacity of the human brain is not enough to handle all the visual sensory information that falls upon the retina. Still human beings can efficiently respond to the external stimuli. Selective attention plays an important role here. It helps to select only the pertinent...
A Brief Review on Recent Trends in Image Restoration
This chapter gives the opportunity to get an idea of recent trends in image denoising and restoration. It relates to the present research scenario in the field of image restoration. As much as possible the newest break-through regarding the methods of denoising as well as the performance metrics of...
Image Enhancement and Restoration Methods for Underwater Images
C. J. Prabhakar, P. U. Praveen Kumar.
In this chapter, the authors provide an overview of state-of-the-art image enhancement and restoration techniques for underwater images. Underwater imaging is one of the challenging tasks in the field of image processing and computer vision. Usually, underwater images suffer from non-uniform lighting...
Computer Vision Based Technique for Surface Defect Detection of Apples
C. J. Prabhakar, S. H. Mohana.
The automatic inspection of quality in fruits is becoming of paramount importance in order to decrease production costs and increase quality standards. Computer vision techniques are used in fruit industry for fruit grading, sorting, and defect detection. In this chapter, we review recent approaches...
De-Noising, Clustering, Classification, and Representation of Microarray Data for Disease Diagnostics
Nitin Baharadwaj, Sheena Wadhwa, Pragya Goel, Isha Sethi, Chanpreet Singh Arora, Aviral Goel, Sonika Bhatnagar, Harish Parthasarathy.
A microarray works by exploiting the ability of a given mRNA molecule to bind specifically to the DNA template from which it originated under specific high stringency conditions. After this, the amount of mRNA bound to each DNA site on the array is determined, which represents the expression level of...
Detection of Cancer from Microscopic Biopsy Images Using Image Processing Tools
Rajesh Kumar, Rajeev Srivastava.
Presently, most cancer diagnosis is based on human visual examination of images in a qualitative manner. Human visual grading for microscopic biopsy images is very time-consuming, subjective, and inconsistent due to inter-and intra-observer variations. A more quantitative and reproducible approach for...
Digital Image Watermarking: Impact on Medical Imaging Applications in Telemedicine
Ruchira Naskar, Rajat Subhra Chakraborty, Dev Kumar Das, Chandan Chakraborty.
With the advent of telemedicine, Digital Rights Management of medical images has become a critical issue pertaining to security and privacy preservation in the medical industry. The technology of telemedicine makes patient diagnosis possible for physicians located at a remote site. This technology...
Electrical Impedance Tomography (EIT): A Harmless Medical Imaging Modality
Tushar Kanti Bera, J. Nagaraju.
Looking into the human body is very essential not only for studying the anatomy and physiology, but also for diagnosing a disease or illness. Doctors always try to visualize an organ or body part in order to study its physiological and anatomical status for understanding and/or treating its illness....
Research and Developments in Medical Image Reconstruction Methods and its Applications
Shailendra Tiwari, Rajeev Srivastava.
Image reconstruction from projection is the field that lays the foundation for Medical Imaging or Medical Image Processing. The rapid and proceeding progress in medical image reconstruction, and the related developments in analysis methods and computer-aided diagnosis, has promoted medical imaging into...
Automatic MRI Brain Image Segmentation Using Gravitational Search-Based Clustering Technique
Vijay Kumar, Jitender Kumar Chhabra, Dinesh Kumar.
Image segmentation plays an important role in medical imaging applications. In this chapter, an automatic MRI brain image segmentation framework using gravitational search based clustering technique has been proposed. This framework consists of two stage segmentation procedure. First, non-brain tissues...
Survey of Medical Image Compression Techniques and Comparative Analysis
Today digital imaging is widely used in every application around us like Internet, High Definition TeleVision (HDTV), satellite communications, fax transmission, and digital storage of movies and more, because it provide superior resolution and quality. Recently, medical imaging has begun to take...
Analysis of Blood Smear and Detection of White Blood Cell Types Using Harris Corner
Nilanjan Dey, Bijurika Nandi, Anamitra Bardhan Roy, Debalina Biswas, Achintya Das, Sheli Sinha Chaudhuri.
Blood cell smears contain huge amounts of information about the state of human health. This chapter proposes a Fuzzy c-means segmentation based method for the evaluation of blood cells of humans by counting the presence of Red Blood Cells (RBCs) and recognizing White Blood Cell (WBC) types using Harris...
Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies
The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings....
Graph-Based Methods in Computer Vision: Developments and Applications
Xiao Bai, Jian Cheng, Edwin Hancock.
Computer vision, the science and technology of machines that see, has been a rapidly developing research area since the mid-1970s. It focuses on the understanding of digital input images in many forms, including video and 3-D range data.Graph-Based Methods in Computer Vision: Developments and...
Developing and Applying Biologically-Inspired Vision Systems: Interdisciplinary Concepts
Marc Pomplun, Junichi Suzuki.
When comparing machine vision systems to the visual systems of humans and animals, there is much to be learned in terms of object segmentation, lighting invariance, and recognition of object categories. Studying the biological systems and applying the findings to the structure of computational vision...
Robotic Vision: Technologies for Machine Learning and Vision Applications
Jose Garcia-Rodriguez, Miguel A. Cazorla Quevedo.
Robotic systems consist of object or scene recognition, vision-based motion control, vision-based mapping, and dense range sensing, and are used for identification and navigation. As these computer vision and robotic connections continue to develop, the benefits of vision technology including savings...
Intelligent Computer Vision and Image Processing: Innovation, Application, and Design
Innovations in computer vision technology continue to advance the applications and design of image processing and its influence on multimedia applications.Intelligent Computer Vision and Image Processing: Innovation, Application, and Design provides methods and research on various disciplines related...
Intelligent Image and Video Interpretation: Algorithms and Applications
Jing Tian, Li Chen.
Due to increasing potential in real-world applications such as visual communications, computer assisted biomedical imaging, and video surveillance, image and video interpretations have become an area of growing interest.Intelligent Image and Video Interpretation: Algorithms and Applications covers all...
Image Processing: Concepts, Methodologies, Tools, and Applications
Information Resources Management Association.
Advancements in digital technology continue to expand the image science field through the tools and techniques utilized to process two-dimensional images and videos.Image Processing: Concepts, Methodologies, Tools, and Applications presents a collection of research on this multidisciplinary field and...