Image segmentation is one of the fundamental stages in computer vision applications.
Several meta-heuristics have been applied to solve the segmentation problems by …

Facial recognition is one of the most successful applications of image analysis and
understanding. This paper presents a Principal Component Analysis (PCA) and eigenface …

Fingerprint is used as an object of the image that can be characteristic of every human
being. Fingerprint images that have noise, blur and are not clearly a major problem in image …

This paper proposes an image segmentation method, namely multilevel thresholding-Otsu.
The proposed method shows a comparison of different thresholding levels. The thresholding …

This paper proposes the use of hybrid multilevel thresholding and harmony search algorithm
(HSA) methods for segmenting the image of the tongue. The Otsu thresholding algorithm …

This paper presents a comparison between two image improvement techniques, Histogram
Equalization (HE) and Adaptive Histogram Equalization (AHE). Canny edge detection is …

Image segmentation is part of the image processing and it is important as it has been used
in various fields such as medical imaging, autonomous driving and object detection. The …

Цель статьи: исследование и разработка методик, алгоритмов и программных средств
оценивания показателей надежности, живучести и интеллектуального анализа данных …

In paper we present the solution of relevant problems of estimation, analysis and forecasting
the indicators of reliability and survivability of the onboard equipment of small satellites. The …

Prostate cancer is one of the most diagnosed malignancies found across the world today.
American cancer society in recent research predicted that over 174,600 new prostate cancer …