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Autor:
Leyuan Fang, Juan Yang
Publikováno v:
2013 Chinese Automation Congress.
This paper presents a novel method for extracting road from high resolution remote sensing image based on Gaussian mixture model and Markov random field (GMM-MRF) model optimized by the iterated conditional model (ICM). In this paper, we first divide
Publikováno v:
2013 25th Chinese Control and Decision Conference (CCDC).
Fuzzy C-means clustering (FCM) algorithm is good at solving the ambiguities and uncertainties in the image, and the modified FCM has been widely used in solving the intensity inhomogeneity problem. Bias-corrected FCM (BCFCM) is very useful for noise
Publikováno v:
FSKD
The clustering methods based on Fuzzy C-Means (FCM) are frequently used in image-segmentation. But the standard FCM algorithm has some defects, especially ignoring the pixel spatial information's influence on the classification result. For the sake o
Publikováno v:
Proceedings 2011 International Conference on System Science and Engineering.
This paper presents an automatic speed sign recognition for providing the visual driving-assistance of speed limits awareness. To reduce the influence of digital noise caused by lighting condition and pollution, a segmentation based on pan-red color
Publikováno v:
T2FUZZ
Stereo matching tries to find correspondences between locations in a pair of displaced images of the same scene in order to extract the underlying depth information. Pixel correspondence estimation suffers from occlusions, noise or bias. In this work
Publikováno v:
2011 International Conference on Computer, Communication and Electrical Technology (ICCCET).
Microscopy cell image analysis is a fundamental tool for biological research. This analysis is used in studies of different aspects of cell cultures. The main challenges in segmenting nuclei in histometry are due to the fact that the specimen is a 2-
Autor:
Mohd Ezane Aziz, Dhanesh Ramachandram, Ibrahim Lutfi Shuaib, Rajeswari Mandava, Bong Chin Wei, Osama Moh'd Alia
Publikováno v:
SoCPaR
In this paper, the automatic segmentation of Osteosar-coma in MRI images is formed as a clustering problem. Subsequently, a new dynamic clustering algorithm based on the Harmony Search (HS) hybridized with Fuzzy C-means (FCM) called DCHS is proposed
Publikováno v:
2010 3rd International Congress on Image and Signal Processing.
The objective of this research was to develop a method for segmenting rice seedlings from background in a multispectral image of paddy field. Multispectral images of paddy field were taken by a high resolution multispectral camera. The DVI (Differenc
Autor:
Zhonghua Shao, Lihong Liang
Publikováno v:
2010 3rd International Congress on Image and Signal Processing.
Cracks in welds are commonly viewed as fatal defects, which possibly cause incredible losses in industries. In this paper, a segmentation method is proposed base on double-thresholding and fuzzy sets theory. Results show that it can also be used in d
Publikováno v:
AIPR
Malignant melanomas are the most serious form of skin cancer accounting for the majority of skin cancer related deaths. Histo-pathological images of skin tissues are analyzed for detecting various types of melanomas. The automatic analysis of these i