Classification of skin cancer images using local binary pattern and SVM classifier
In this paper, a classification method for melanoma and non-melanoma skin cancer images has been presented using the local binary patterns (LBP). The LBP computes the local texture information from the skin cancer images, which is later used to compute some statistical features that have capability...
Saved in:
Main Authors: | Adjed, F., Faye, I., Ababsa, F., Gardezi, S.J., Dass, S.C. |
---|---|
格式: | Conference or Workshop Item |
出版: |
American Institute of Physics Inc.
2016
|
在线阅读: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85005943826&doi=10.1063%2f1.4968145&partnerID=40&md5=a5df4668199561ae3fd3740f91e8951a http://eprints.utp.edu.my/30677/ |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Skin lesion classification using multi-resolution empirical mode decomposition and local binary pattern
由: Samsudin, Siti Salbiah, et al.
出版: (2022) -
Adaptive boosting with SVM classifier for moving vehicle classification
由: Norasmadi, Abdul Rahim, et al.
出版: (2013) -
Adaptive boosting with SVM classifier for moving vehicle classification
由: Norasmadi, Abdul Rahim, et al.
出版: (2013) -
Binary classification using SVM for sick and healthy chicken based on chicken’s excrement image
由: Aziz, N. A., et al.
出版: (2017) -
SKIN CANCER SEGMENTATION AND DETECTION USING TOTAL
VARIATION AND MULTIRESOLUTION ANALYSIS
由: ADJED, FAOUZI
出版: (2018)