Image segmentation is defined as a partition realized to an image into homogeneous regions to modify it into something that is more meaningful and softer to examine. Although several segmentation approaches have been proposed recently, in this paper, we develop a new image segmentation method based on the statistical confidence interval tool along with the well-known Otsu algorithm. According t...

Yoshiki Tsunesada, Nobuyuki Kanda, Hiroyuki Nakano, Daisuke Tatsumi, Masaki Ando, Misao Sasaki, Hideyuki Tagoshi, and Hirotaka Takahashi National Astronomical Observatory of Japan, Tokyo 181-8588, Japan Department of Mathematics And Physics, Graduate School of Science, Osaka City University, Osaka 558-8585, Japan Department of Physics, University of Tokyo, Tokyo 113-0033, Japan Yukawa Institute...

Aiming at the disadvantages of the traditional positioning technology, barcode positioning system is introduced in this paper. Based on Otsu method, a novel barcode image binarization is put forward by comparing varieties of image binarization methods domestically and abroad. Moreover, we have a systematic research on histogram and binarization mechanism, and also give the calculation of histog...

Variance-based thresholding methods could be biased from the threshold found by expert and the underlying mechanism responsible for this bias is explored in this paper. An analysis on the minimum class variance thresholding (MCVT) and the Otsu method, which minimizes the within-class variance, is carried out. It turns out that the bias for the Otsu method is due to differences in class variance...

In computer vision, detection and tracking of targets is very complex problem and demands sophisticated solutions. Unmanned Aerial Vehicles (UAVs) are increasingly being used for reconnaissance and Surveillance. This framework mainly consists of image matching for reconnaissance and Surveillance. This framework mainly consists of image matching for Digital Scene Matching Area Correlation (DSMAC...

SAR (Synthetic Aperture Radar) has become a useful and efficient method for monitoring flood extent due to its capability of 24-hour and all weather observation. In this paper, a novel approach is proposed to extract water bodies from ASAR dual-polarized images. Firstly, a new SAR image was created from ASAR Dual-Polarized data using a discrete wavelet transformation (DWT) fusion method. Then, ...

69 Abstract—In this article a novel algorithm for color image segmentation has been developed. The proposed algorithm based on combining two existing methods in such a novel way to obtain a significant method to partition the color image into significant regions. On the first phase, the traditional Otsu method for gray channel image segmentation were applied for each of the R,G, and B channels ...

Hiroshi Murata, Linda M. Zangwill, Yuri Fujino, Masato Matsuura, Atsuya Miki, Kazunori Hirasawa, Masaki Tanito, Shiro Mizoue, Kazuhiko Mori, Katsuyoshi Suzuki, Takehiro Yamashita, Kenji Kashiwagi, Nobuyuki Shoji, and Ryo Asaoka Department of Ophthalmology, University of Tokyo Graduate School of Medicine, Tokyo, Japan Shiley Eye Institute Hamilton Glaucoma Center, University of California, San D...

The main focus of this paper is on extracting features with SOund Navigation And Ranging (SONAR) sensing for further underwater landmark-based Simultaneous Localization and Mapping (SLAM). According to the characteristics of sonar images, in this paper, an improved Otsu threshold segmentation method (TSM) has been developed for feature detection. In combination with a contour detection algorith...