280 Result(s)
within
Biomedicine
Image Processing and Computer Vision
**e **an
Chapter
-
Chapter
Preliminaries
This chapter introduces some concepts, notations, and terminology, which will be useful subsequently in this book. Section 2.1 summarizes the main sources of imprecision in the context of image processing and ...
-
Chapter
Fuzzy Mathematical Morphology
In this chapter, we present the theory of fuzzy mathematical morphology, starting from the algebraic notions, the basic operators, and providing some examples of derived operators. Extending mathematical morph...
-
Chapter
Spatial Relations
In this chapter we move to more structural information, expressed in terms of spatial relationships between objects or fuzzy objects.
-
Chapter
Structural and Linguistic Representations
In this chapter, some formal models for knowledge and information representation are presented, focusing on their extensions to fuzzy sets. They will be used for image understanding in Chap. 9
-
Chapter
Introduction
Since its introduction (Zadeh, Inf Control 8:338–353, 1965), fuzzy sets theory was rapidly exploited and further developed for image processing and image understanding problems. One reason for this development...
-
Chapter
Fuzzy Spatial Objects
-
Chapter
Fusion
Fusion has emerged as an important aspect of information processing in several very different fields. This chapter addresses the question of information fusion under imprecision, in the domain of image process...
-
Chapter
Fuzzy Sets and Machine Learning
The issue of learning is central to fuzzy set based methods. What we mean by this is that while the notion on a fuzzy set is natural and easy to grasp, for applications, the actual membership function must be ...
-
Chapter
Structural and Linguistic Reasoning for Image Understanding
A well-known problem in image and computer vision is the semantic gap (see Sect. 8.1.3) between the physical level of images, that is features extracted by image processing, a...
-
Chapter
Medical Image Watermarking: A Review on Wavelet-Based Methods
Medical imaging systems have made technological advances exponentially with the advent of fast computing systems and multimedia technologies. Images from various imaging modalities are processed, stored, and t...
-
Chapter
Classification of sEMG Signal-Based Arm Action Using Convolutional Neural Network
Prosthetic arms are rapidly gaining pace because of their use in the development of robotic prosthesis. The surface electromyography (sEMG) signal acquired from the residual limb of amputee helps to control th...
-
Chapter
Hybrid Image Processing-Based Examination of 2D Brain MRI Slices to Detect Brain Tumor/Stroke Section: A Study
In human physiology, the brain is the most important internal organ, and a disease in the brain affects the individual severely and the untreated disease will lead to death. In the brain, tumor as well as isch...
-
Chapter
Lung Cancer Diagnosis Based on Image Fusion and Prediction Using CT and PET Image
Capturing analytical data from the fusion of medical images is a demand and emerging area of exploration. A vast area of applications of image fusion demonstrates its importance in the examination of diseases ...
-
Chapter
Analysis of Material Profile for Polymer-Based Mechanical Microgripper for Thin Plate Holding
A MEMS-based gripper tool to handle a thin, larger surface area component is not available in the market, which is capable of functioning even in the moisture, as the tool is devised by means of a polymer mate...
-
Chapter
A Comprehensive Study of Image Fusion Techniques and Their Applications
The method by which data from different images are amalgamated into a single image so as to upgrade the quality of the image and reduce the artifacts, randomness, and redundancy is known as image fusion. Image...
-
Chapter
A Review on Automatic Detection of Retinal Lesions in Fundus Images for Diabetic Retinopathy
Diabetic retinopathy has emerged as one of the prime reasons for loss of vision. It is diagnosed by analyzing the abnormalities in retinal fundus image. In diabetic patients, the blood vessels become abnormal ...
-
Chapter
EEG Signal Extraction Analysis Techniques
In the proposed chapter, the analysis of EEG signal information extraction is studied. The several nonlinear techniques used are discussed. One application implementation of EEG signal analysis in epilepsy wit...
-
Chapter
An Integrated Design of Fuzzy C-Means and NCA-Based Multi-properties Feature Reduction for Brain Tumor Recognition
In medical imaging, brain tumor detection and recognition from magnetic resonance imaging examination are essential for both the analysis and processing of brain cancers. From the literature, it is quite clear...
-
Chapter
An Automated Approach for the Identification of TB Images Enhanced by Non-uniform Illumination Correction
Tuberculosis (TB) is a contagious airborne infectious disease for which early diagnosis is essential to control. The conventional method employed for TB identification is the microscopy-based TB screening. Scr...
-
Chapter
Edge-Enhancing Coherence Diffusion Filter for Level Set Segmentation and Asymmetry Analysis Using Curvelets in Breast Thermograms
Thermal pattern which shows asymmetry plays a vital role to diagnosis the cancer in breast thermogram. In this work, asymmetrical pattern of thermal images is analysed using coherence-enhanced diffusion filter...
