Background: Digital image processing and analysis are used for computer assisted evaluation of sperm morphology. Sperm head morphology has been identified as a characteristic that can be used to predict a male’s semen quality. On the other hand, zygote competence analysis is an importance tool to select embryo(s) for transfer. The aim of the present study is to determine zygote quality resulted...

storage devices today, combined with the rapid expansion of broadband Internet connectivity, has given consumers more control over their digital photo collections than ever before. There’s virtually no limit to the amount of digital images we can keep and store on our PCs. As a result, the emerging challenge is searching through these digital image collections. With no information about the ima...

Digital image analysis programs, which are useful tools in the discovery of new drugs and in industrial photography in general, can be applied to digital images to produce quantitative data that was not readily available before. Researchers and digital imaging professionals working in any scientific discipline need to be aware that artifacts can be introduced when choosing to use compression. C...

IntroductionA fine balance of image quality and radiation dose can be achieved by optimization to minimize stochastic and deterministic effects. This study aimed in ensuring that images of acceptable quality for common radiographic examinations in digital imaging were produced without causing harmful effects. Materials and MethodsThe study was conducted in three phases. The pre-optimization inv...

Image segmentation is one of the most common steps in digital image processing. The area many image segmentation algorithms (e.g., thresholding, edge detection, and region growing) employed for classifying a digital image into different segments. In this connection, finding a suitable algorithm for medical image segmentation is a challenging task due to mainly the noise, low contrast, and steep...

Topology is a fundamental property of shapes in pictures. Since the input for any image analysis algorithm is a digital image, which does not need to have the same topological characteristics as the imaged real world, it is important to know, which shapes can be digitized without topological changes. Most existing approaches do not take into account the unavoidable blurring in real image acquis...

Advancements in digital imaging technologies has elevated many new issues and challenges concerning the authenticity and integrity of digital images. Digital images can now be easily captured and edited for creating forgery without leaving any obvious clues of such operations. These capabilities undermine the credibility of digital images in all aspects. Digital image forensics is has gained tr...

One of the main tasks of digital image analysis is to recognize the properties of real objects based on their digital images. These images are obtained by some sampling device, like a CCD camera, and are represented as finite sets of points that are assigned some value in a gray level or color scale. A fundamental question in image understanding is which features in the digital image correspond...

Image segmentation is one of the most common steps in digital image processing. The area many image segmentation algorithms (e.g., thresholding, edge detection, and region growing) employed for classifying a digital image into different segments. In this connection, finding a suitable algorithm for medical image segmentation is a challenging task due to mainly the noise, low contrast, and steep...