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Sidescan sonar image segmentation is a very important issue in underwater object detection and recognition. In this paper, a robust and fast method for sidescan sonar image segmentation is proposed, which deals with both speckle noise and intensity inhomogeneity that may cause considerable difficulties in image segmentation. The proposed method integrates the nonlocal means-based speckle filtering...
In this paper, an unsupervised seafloor segmentation method using combined texture features of sidescan sonar images is proposed. Two sets of features are considered in the proposed algorithm. One calculates the statistics from the gray-level co-occurrence matrix (GLCM), and the other obtains the statistics in the nonsubsampled contourlet transform domain (NSCT). The two sets of features are combined...
Dichromats (a human with red-green color blindness considered in this paper) cannot always perceive meaningful visual information due to their deficiencies in eye cells. Stroke information extraction from a color-blindness image (CBI) is presented in order to deliver direct and effective information to dichromats. A CBI is first transformed into the pattern-highlighted image by means of color component...
A DSP based system is proposed to detect infrared small targets in thermal imaging. The core of the system is TMS320DM6467T, in which an ARM9 and a C64+ DSP are integrated. The system includes a video capture module, a video process module and a video output module. To detect small targets in the video, an algorithm based on maximum between-class variance method in wavelet domain is proposed. Video...
Automated assessment of hepatic fat fraction is clinically important. A robust and precise segmentation would enable accurate, objective and consistent measurement of liver fat fraction for disease quantification, therapy monitoring and drug development. However, segmenting the liver in clinical trials is a challenging task due to the variability of liver anatomy as well as the diverse sources the...
In this paper, we aim to provide an effective and efficient method to generate text-based Captchas which are resilient against segmentation attack. Different to the popular industry practice of using very simple color schemes, we advocate to use multiple colors in our Captchas. We adopt the idea of brush and canvas when coloring our Captchas. Furthermore, we choose to use simple accumulating functions...
Shape information plays an important role in biomedical image analysis because of the strong shape characteristics of biological structures. It is often used as a prior to constrain or refine the intermediate shape information derived from low-level image features. In this paper, we give an overview of the sparse shape composition based prior modeling method and its various applications of biomedical...
In this paper contrapose the characteristic of Uyghur character, propose a new method for Uyghur character recognition basing on neural network. The means utilizes projection to isolate the letters of the connected character field, then put pretreatment Uyghur character block image mode classify using neural network, extraction of outer features. It indicates that we can get relatively satisfying...
In order to improve accuracy of image Segmentation, a new merging method based on Bayesian classifier is proposed for the medical image Segmentation. There are many particles such as red blood cells, white blood cells, pipe type cells, epitheliums and the crystallizations in urinary sediment images. Segmentation the various elements among the particles is very important to medical decision. Existing...
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