Subway tunnel crack identification algorithm research based on image processing

2014 ◽  
Author(s):  
Biao Bai ◽  
Liqiang Zhu ◽  
Yaodong Wang
Keyword(s):  
Image Processing ◽  
Crack Identification ◽  
Identification Algorithm ◽  
Subway Tunnel ◽  
Tunnel Crack

scholarly journals Crack Identification Algorithm FY 15 DE07 SW C2 Zone 3 9 Images: Y13:15 X9:11

2020 ◽  
Author(s):  
James Wendelberger ◽  
Elizabeth Kelly ◽  
Kimberly Kaufeld ◽  
John Berg
Keyword(s):  
Crack Identification ◽  
Identification Algorithm

Fingerprint Recognition in Wavelet Domain

2012 ◽  
Author(s):  
Wan Azizun Wan Adnan ◽  
Tze Siang Lim ◽  
Salasiah Hitam
Keyword(s):  
Image Processing ◽  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Low Cost ◽  
Recognition System ◽  
Fingerprint Recognition ◽  
Fingerprint Identification ◽  
Small Computer ◽  
Identification System ◽  
Identification Algorithm

Teknik cetak ibujari merupakan satu daripada teknologi biometrik yang paling boleh diharapkan. Beberapa pendekatan terhadap pemadanan ibujari secara automatik telah dicadangkan dalam saranan. Dalam pengecaman ibujari, pra–prosesan seperti pelicin, binarization dan thinning diperlukan. Kemudian, ciri–ciri cetak ibujari yang terperinci diambil berdasarkan algoritma pengecaman cetak ibujari (seperti dengan menggunakan Fast Fourier Transform (FFT)) mungkin memerlukan teknik–teknik pengkomputeran yang banyak sehingga menjadikannya tidak praktikal. Algoritma berdasarkan wavelet mungkin merupakan kunci untuk membina sistem pengecaman cetak ibujari kos rendah yang boleh dioperasi dalam sistem komputer bermodul kecil. Di sini, satu sistem pengecaman cetak ibujari yang boleh menjalankan pemadanan cetak ibujari berdasarkan kepada ciri–ciri yang diperolehi daripada domain jelmaan wavelet diperkenalkan. Kajian ini adalah berdasarkan kepada perisian MATLAB dan aplikasinya dalam toolbox seperti Wavelet and Image Processing Toolbox. Kata kunci: Biometrik, wavelet, cetaksekuriti, pengecaman cetak ibujari Fingerprint technique is one of the most reliable biometric technologies. In the fingerprint recognition, pre-processing such as smoothing, binarization, and thinning are needed. Then, fingerprint minutia feature is extracted. Some fingerprint identification algorithm (such as using Fast Fourier Transform, (FFT)) may require so much computation as to be impractical. Wavelet based algorithm may be the key to making a low cost fingerprint identification system that would operate on a small computer. We present a fingerprint recognition system that can match the fingerprint images based on features extracted in the wavelet transform domain. This study is implemented based on MATLAB Software and their toolbox applications, such as Wavelet and Image Processing Toolbox. Key words: Biometrics, wavelet, security, fingerprint recognition

scholarly journals Concrete Crack Identification Using a UAV Incorporating Hybrid Image Processing

Sensors ◽  
2017 ◽  
Vol 17 (9) ◽  
pp. 2052 ◽  
Author(s):  
Hyunjun Kim ◽  
Junhwa Lee ◽  
Eunjong Ahn ◽  
Soojin Cho ◽  
Myoungsu Shin ◽  
...  
Keyword(s):  
Image Processing ◽  
Crack Identification ◽  
Concrete Crack
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