Automated contour detection in blood cell images by an efficient snake algorithm

Automatic detection of mitochondria from electron microscope tomography images: a curve fitting approach Tasel, Serdar F.; HASSANPOUR, REZA; Mumcuoğlu, Ünal Erkan; Perkins, Guy; Martone, Maryann (2014-02-18) Mitochondria are sub-cellular components which are mainly responsible for synthesis of adenosine tri-phosphate (ATP) and involved in the regulation of several cellular activities such as apoptosis. The relation between some common diseases of aging and morphological structure of mitochondria is gaining strength by an increasing number of studies. Electron microscope tomography (EMT) provides high-resolution images of the 3D structure and internal arrangement of mitochondria. Studies that aim to reveal the c...
Edge strength functions as shape priors in image segmentation Erdem, E; Erdem, A; Tari, S (2005-01-01) Many applications of computer vision requires segmenting out of an object of interest from a given image. Motivated by unlevel-sets formulation of Raviv, Kiryati and Sochen [8] and statistical formulation of Leventon, Crimson and Faugeras [6], we present a new image segmentation method which accounts for prior shape information. Our method depends on Ambrosio-Tortorelli approximation of Mumford-Shah functional. The prior shape is represented by a by-product of this functional, a smooth edge indicator functi...
Modeling and control of a PEM fuel cell system Saygılı, Yasemin; Kıncal, Serkan; Eroğlu, İnci; Department of Chemical Engineering (2013) Polymer electrolyte membrane (PEM) fuel cells attract an extensive interest due to their advantageous properties. To compete with the conventional power generators fuel cell systems should ensure safe and efficient operations at any time. To achieve satisfactory operations, all the process requirements should be determined and implemented within the operational constraints. Thermal management, reactant supply, water management and power management are some of the main issues for which proper and sufficient ...
Visual detection and tracking of moving objects Ergezer, Hamza; Leblebicioğlu, Mehmet Kemal (2007-06-13) In this paper, primary steps of a visual surveillance system are presented: moving object detection and tracking of these moving objects. Running average method has been used to detect the moving objects in the video, which is taken from a static camera. Tracking of foreground objects has been realized by using a Kalman filter. After background subtraction, morphological operators are used to remove noises detected as foreground. Active contour models (snakes) are the segmentation tools for the extracted fo...
SPECIFIC CAKE RESISTANCE - MYTH OR REALITY TOSUN, I; Yetiş, Ülkü; WILLIS, MS; CHASE, GG (1993-01-01) The specific cake resistance is considered to be the key factor in the characterization of sludge dewaterability. The use of this parameter without knowing how it is derived and the conditions under which it can be used has been creating a great deal of confusion in the literature. Moreover, the lack of a universally agreed test method to determine its value causes additional problems. Hence, attempts to go from the laboratory data to the full scale industrial equipment using this concept may end up in fail...

Citation Formats

G. ONGUN, U. Halıcı, M. K. Leblebicioğlu, M. V. Atalay, S. Beksaç, and M. BEKSAÇ, “Automated contour detection in blood cell images by an efficient snake algorithm,” 2000, vol. 47, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48161.