Extracting feature from images by using K-Means clustering algorithm / Abdul Hakim Zainal Abidin
Image segmentation refers to process of separating out a desire region from an image. Extracting feature in images to get meaningful information is a demanding task as need to extract the information in very large images. However, existing face recognition methods would not perform well under certai...
Saved in:
主要作者: | Zainal Abidin, Abdul Hakim |
---|---|
格式: | Thesis |
语言: | English |
出版: |
2016
|
在线阅读: | https://ir.uitm.edu.my/id/eprint/18098/1/TD_ABDUL%20HAKIM%20ZAINAL%20ABIDIN%20CS%2016_5.pdf |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Optimized clustering with modified K-means algorithm
由: Alibuhtto, Mohamed Cassim
出版: (2021) -
An efficient and robust cluster-based algorithm for image duplicated region detection using K-means clusteringTafreshi
由: Tafreshi, Amir Esmaeil Sarabadani
出版: (2013) -
Enhancement of parallel K-means algorithm for clustering big datasets
由: Ashabi, Ardavan
出版: (2022) -
K-means with modified simulated annealing and great deluge algorithms for clustering problems /
由: Kittaneh, Rawnaq Raji Nemer
出版: (2011) -
Basement maintenance / Suhana Zainal Abidin
由: Zainal Abidin, Suhana
出版: (2002)