Super-Thresholding: Supervised Thresholding of Protein Crystal Images
نویسندگان
چکیده
منابع مشابه
Adaptive Thresholding in Ultrasonograph Images
The development of segmentation using foetal ultrasound images is explained. The current paper work explains the development of enhancement and segmentation algorithms as the ultrasound diagnosis highly depends on the quality of the data. Developed algorithms segment the foetus and helps in analyzing the anatomical structure. This makes an easy diagnostic tool for the obstetricians to analyze a...
متن کاملSemi-supervised Wavelet Thresholding and Applications
Under the general regression setup, yi = gi + ǫi, we are interested in estimating a possibly multivariate regression function g. The wavelet thresholding is a simple operation in the wavelet domain that selects the subset of wavelet coefficients corresponding to an estimator of g when back-transformed. We propose the selection of this subset in a semi-supervised fashion, in which a neighbor str...
متن کاملAdaptive Thresholding in Marine RADARs
In order to detect targets upon sea surface or near it, marine radars should be capable of distinguishing signals of target reflections from the sea clutter. Our proposed method in this paper relates to detection of dissimilar marine targets in an inhomogeneous environment with clutter and non-stationary noises, and is based on adaptive thresholding determination methods. The variance and t...
متن کاملRetinex filtering and thresholding of foggy images
Recently, we have discussed the use of GIMP Retinex, a filter of the GNU Image Manipulation Program, for enhancing images in several applications, ranging from those obtained by microscopes to the images coming from satellites. Retinex can also enhance foggy images: here we investigate the role of GIMP filter in their thresholding for binarization.
متن کاملDenoising of multispectral images using wavelet thresholding
In this paper a denoising technique for multispectral images exploiting interband correlations is proposed. A redundant wavelet transform is applied and denoising is applied by thresholding wavelet coefficients. A scale adaptive threshold value is obtained by exploiting the interband correlation of the signal. First, the coefficients from different bands are multiplied. For these products, the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE/ACM Transactions on Computational Biology and Bioinformatics
سال: 2017
ISSN: 1545-5963,1557-9964,2374-0043
DOI: 10.1109/tcbb.2016.2542811