Due to the computational complexity of multilevel image thresholding, Swarm Intelligence Optimization Algorithm (SIOA) has been widely applied improve calculation efficiency. Therefore, more and attention paid exploring application latest SIOA in segmentation. This article takes Otsu fuzzy entropy as objective functions, using Coyote (COA) for thresholds optimization selection, through median a...

In the electroencephalography (EEG) study, eye blinks are a commonly known type of ocular artifact that appears most frequently in any EEG measurement. The can be seen as spiking electrical potentials which their time-frequency properties varied across individuals. Their presence negatively impact various medical or scientific research helpful when applying to brain-computer interface applicati...

Entropy-based image thresholding has received considerable interest in recent years. Two types of entropy are generally used as thresholding criteria: Shannon’s entropy and relative entropy, also known as Kullback–Leibler information distance, where the former measures uncertainty in an information source with an optimal threshold obtained by maximising Shannon’s entropy, whereas the latter mea...

The electrocardiogram (ECG) is widely used for diagnosis of heart diseases. Good quality of ECG is utilized by physicians for interpretation and identification of physiological and pathological phenomena. However, in real situations, ECG recordings are often corrupted by artifacts. Noise severely limits the utility of the recorded ECG and thus need to be removed, for better clinical evaluation....

Segmentation is an important step to obtain quantitative information from tomographic data sets. To this end, global thresholding is often used in practice. However, it is usually not possible to obtain an accurate segmentation based on a single, global threshold. Instead, local thresholding schemes can be applied that use a varying threshold, depending on local characteristics of the tomogram....

Multilevel thresholding is one of the most popular image segmentation techniques. This paper presents a new multilevel maximum entropy thresholding method based on modified seeker optimization (MSO) algorithm. In the proposed method the thresholding problem is treated as an optimization problem and solved by using the MSO metaheuristics. Particle swarm optimization (PSO) algorithm is also imple...

Denoising techniques that are based on modifying the transform of an image are considered here. In these techniques, a reversible, linear transform (such as transforms discussed in Chapter 2) is used to map the noisy image into a set of transform coefficients, which are then filtered using a suitable thresholding technique. Fig. 4.1 shows a typical denoising system that uses transform technique...