Digital image segmentation based on Otsu’s method is one of the most widely used technique for threshold selection. With Otsu’s method, an optimum threshold is found by maximizing the between-class variance and the algorithm assumes that the image contains two classes of pixels or bi-modal histogram (e.g., foreground and background). It then calculates the optimal threshold value separating the...

The main objective of medical image segmentation is to extract and characterize anatomical structures with respect to some input features or expert knowledge. The Otsu method is a popular non-parametric method in medical image segmentation. Traditional Otsu method for medical image segmentation is time–consuming computation and became an obstacle in real time application systems. In the same wa...

In an effort to implement fast and effective tank segmentation from infrared images in complex background, the threshold of the maximum between-class variance method (i.e., the Otsu method) is analyzed and the working mechanism of the Otsu method is discussed. Subsequently, a fast and effective method for tank segmentation from infrared images in complex background is proposed based on the Otsu...

Xiao-Min Tong,1,2,* Predrag Ranitovic,3,4 Daniel D. Hickstein,3 Margaret M. Murnane,3 Henry C. Kapteyn,3 and Nobuyuki Toshima1 1Division of Materials Science, Faculty of Pure and Applied Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8577, Japan 2Center for Computational Sciences, University of Tsukuba,1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan 3JILA and Department ...

A novel natural compound, a cycloanthranilylproline derivative (Fuligocandin B), sensitizes leukemia cells to apoptosis induced by tumor necrosis factor–related apoptosis-inducing ligand (TRAIL) through 15-deoxy12,14 prostaglandin J2 production Hiroo Hasegawa,1,6 Yasuaki Yamada,1 Kanki Komiyama,2 Masahiko Hayashi,3 Masami Ishibashi,4 Toshiaki Sunazuka,2,3 Takeshi Izuhara,5 Kazuyuki Sugahara,1 K...

In computer vision and image processing, Otsu's method is used to automatically perform histogram shape-based image thresholding, or, the reduction of a graylevel image to a binary image. The algorithm assumes that the image to be thresholded contains two classes of pixels (e.g. for eground and background) then calculates the optimum threshold separating those two classes so that their combined...

Ant Colony Optimization (ACO) algorithms are widely used in medical imaging, especially for image edge detection and image segmentation. In this paper, fundamentally we use ACO algorithm for lung nodule detection and compare the performance against three other algorithms namely Otsu algorithm, Watershed algorithm, Global region based segmentation. In addition, we suggest a novel approach which ...

Canny algorithm can be used in extracting the object’s contour clearly by setting the appropriate parameters. The Otsu algorithm can calculate the high threshold value which is significant to the Canny algorithm, and then this threshold value can be used in the Canny algorithm to detect the object’s edge. From the exprimental result, the Otsu algorithm can be applied in choosing the threshold v...

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A key aspect in extracting quantitative information from FMI logs is to segment the FMI image to get image of layers. In this paper, an automatic method based on FCM clustering and Otsu thresholding is introduced in order to extract quantitative information from FMI images. All pixels are clustered using FCM clustering algorithm at the f irst step. The second step uses KNN for other clustering....