The Best Texture Features for Leukocytes Recognition
نویسندگان
چکیده
منابع مشابه
Learning the best subset of local features for face recognition
We propose a novel, local feature-based face representation method based on two-stage subset selection where the first stage finds the informative regions and the second stage finds the discriminative features in those locations. The key motivation is to learn the most discriminative regions of a human face and the features in there for person identification, instead of assuming a priori any re...
متن کاملIris Recognition System Based on Texture Features
Nowadays iris recognition becomes one of the most common methods for identification like password, keys, etc. In this paper, a new iris recognition system based on texture has been proposed to recognize persons using low quality iris images. At first, the iris area is located, and then a new method for eyelash and eyelid detection is applied, the introduced method depends on making image statis...
متن کاملPalmprint Recognition Based on Local Texture Features
In this paper, we propose and evaluate palmprint recognition method based on local Haralick features. The Haralick features are extracted from overlapping square subimages of a palmprint region of interest (ROI). A biometric template is composed of N m-component feature vectors, where N is the total number of overlapping subimages, and m is the number of local Haralick features per subimage in ...
متن کاملColor Local Texture Features Based Face Recognition
For the purpose of face recognition (FR), the new color local texture features, i.e., color local Gabor wavelets (CLGWs) and color local binary pattern (CLBP), are being proposed. The proposed color local texture features are able to exploit the discriminative information derived from spatiochromatic texture patterns of different spectral channels within a certain local face region. This method...
متن کاملFruit Recognition using Color and Texture Features
The computer vision strategies used to recognize a fruit rely on four basic features which characterize the object: intensity, color, shape and texture. This paper proposes an efficient fusion of color and texture features for fruit recognition. The recognition is done by the minimum distance classifier based upon the statistical and co-occurrence features derived from the Wavelet transformed s...
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: Journal of Medical Signals & Sensors
سال: 2017
ISSN: 2228-7477
DOI: 10.4103/jmss.jmss_7_17