Some characteristics were used in image segmentation algorithms, however, these algorithms have some inevitable limitations, so appropriate methods were selected for a variety of practical applications against specific demands of various applications. The improved Otsu algorithm was studied in this article, and in the cluster-based image segmentation algorithm, fuzzy C-means algorithm and globa...

The detection of moving object is important in many tasks, such as video surveillance and moving object tracking. Although there are some methods for the moving object detection, it is still a challenging area. In this paper, a new method which combines the Kirsch operator with the Optical Flow method (KOF) is proposed. On the one hand, the Kirsch operator is used to compute the contour of the ...

High-resolution water mapping with remotely sensed data is essential to monitoring of rainstorm waterlogging and flood disasters. In this study, a modified linear spectral mixture analysis (LSMA) method is proposed to extract high-precision water fraction maps. In the modified LSMA, the pure water and mixed water-land pixels, which are extracted by the Otsu method and a morphological dilation o...

Automatic road extraction from aerial images can be very helpful in traffic control and vehicle guidance systems. Most of the road detection approaches are based on image segmentation algorithms. Color-based segmentation is very sensitive to light changes and consequently the change of weather condition affects the recognition rate of road detection systems. In order to reduce the light change ...

Based on the spectral reflection characteristics analysis of muddy coastline in Jiangsu, an improved water index (IWI) combined with Otsu algorithm is proposed to extract coastlines from Landsat Operational Land Imager (OLI) images. The IWI-extracted results are compared those extracted by modified normalized difference (MNDWI), (NDWI), enhanced (EWI), revised different (RNDWI) and automated ex...

MASAKI FUJITA,1 ROBERT J. MASON,2 CARLEYNE COOL,3 JOHN M. SHANNON,4 NOBUYUKI HARA,1 AND KAREN A. FAGAN5 1Research Institute for Disease of the Chest, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582 Japan; 2Department of Medicine, National Jewish Medical and Research Center, Denver 80206; 3Department of Pathology, University of Colorado Health Sciences Center, Denver, Co...

In this paper, a denoising and binarization scheme of document images corrupted by white Gaussian noise and Impulse noise is presented using Curvelet Transform. The ability of sparse representation and edge preservation of Curvelet transform is utilized. Impulse noise gets added during document scanning or after binarization of scanned document images. White Gaussian noise corrupts the document...