Multi-focus image fusion aims to extract the focused regions from multiple partially focused
images of the same scene and then combine them together to produce a completely focused …

Identifying liver and tumour regions from medical images using fully automated computer-
aided software is a challenging task for the diagnosis of liver disease. In this paper, a novel …

Cell nucleus segmentation remains an open and challenging problem especially to segment
nuclei in cell clumps. Splitting a cell clump would be straightforward if the gradients of …

Agglomeration control is important for both the crystallization process and product quality
optimization. Fast and precise description of the agglomerate is crucial for agglomeration …

The objective of this study was to determine the effects of flow rates and layer thicknesses for
the aggregates on the estimation of the aggregate gradation of an asphalt mixture based on …

A novel infrared pedestrian segmentation algorithm based on the circular shortest path is
proposed. The foreground containing pedestrians is estimated by saliency mapping and …

Multiple ellipse fitting is challenging and at the same time essential as it has a variety of
applications in biology, chemistry, and nanotechnology. Accurate, effective, and reliable …

Accurate segmentation of hepatocellular carcinoma (HCC) nuclei is of great importance in
automatic pathologic diagnosis. This paper proposes structure convolutional extreme …

Image processing techniques are frequently used for extracting quantitative information (cell
area, cell size, cell counting, etc.) from different types of microscopic images. Image analysis …

ÖZ Hücre biyolojisi ve doku mühendisliğinde görüntü analizi zaman alan ve kişisel uzmanlık
gerektiren bir işlemdir. Ancak sonuçların değerlendirilmesi öznel olabilir. Bu nedenle …