Detection Of Misplaced And Missing Regions In Image Using Neural Network
Jigsaw puzzle is a printed picture that is cut into various pieces of different shapes. The game requires assembly of many oddly shaped pieces into producing a complete picture. However, misplaced or missing jigsaw puzzle pieces are difficult to be detected by human eyes. This scenario can be bridge...
Saved in:
主要作者: | Tan , Jin Siang |
---|---|
格式: | Thesis |
语言: | English |
出版: |
2017
|
主题: | |
在线阅读: | http://eprints.usm.my/39525/1/Tan_Jin_Siang_24_Pages.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
-
Investigation And Development Of Convolutional Neural Network Based Image Splicing Detection
由: Md Hasim, Siti Mastura
出版: (2017) -
An Intelligent Classification System For Aggregate Based On Image Processing And Neural Network
由: Al-Batah, Mohammad Subhi Mohammad
出版: (2009) -
Automatic image restoration technique for Under/over exposed region.
由: Zakaria, Mohd Firdaus
出版: (2011) -
Fault Detection And Diagnosis Of Induction Motors Using The Fuzzy Min-Max Neural Network And The Classification And Regression Tree
由: Seera, Manjeevan Singh
出版: (2012) -
Hardware Implementation Of Artificial Neural Network On FPGA For Sulfate-Reducing Bacteria
由: Tan, Earn Tzeh
出版: (2014)