Zobrazeno 1 - 10
of 10 340
pro vyhledávání: '"scale invariant feature transform"'
Autor:
Ming-Chuan Chiu, Stella Chin-Shaw Tsai, Zhe-Rui Bai, Abraham Lin, Chi-Chang Chang, Guo-Zhi Wang, Frank Cheau-Feng Lin
Publikováno v:
Heliyon, Vol 10, Iss 9, Pp e30023- (2024)
Primary spontaneous pneumothorax (PSP) primarily affects slim and tall young males. Exploring the etiological link between chest wall structural characteristics and PSP is crucial for advancing treatment methods. In this case-control study, chest com
Externí odkaz:
https://doaj.org/article/9b407f3256cf42ee879788fb0f6325c5
Publikováno v:
IEEE Access, Vol 12, Pp 124183-124208 (2024)
A fast and improved scale-invariant feature transform (SIFT) image stitching algorithm is proposed based on texture classification to solve the problem of huge computational complexity. In the preprocessing stage, the phase correlation algorithm is u
Externí odkaz:
https://doaj.org/article/fc6d87268e5e4fe2a60e09c24491d0d5
Publikováno v:
IEEE Access, Vol 12, Pp 54481-54492 (2024)
Optical image matching has been a recent trend in the field of remote sensing image processing. It is considered as a challenging problem due to the existence of significant geometric variations as well as intensity differences between the images. Sc
Externí odkaz:
https://doaj.org/article/5d930b5cd8d14d528820f0f987c09f38
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2475-2488 (2024)
Remote sensing image registration is one of the crucial steps in remote sensing image processing, where ground control information is essential. Maintenance of control point databases is complex and expensive. Consequently, lightweight feature databa
Externí odkaz:
https://doaj.org/article/da2590627cce4ffc846eeff206ac03e8
Publikováno v:
Journal of Intelligent Systems, Vol 32, Iss 1, Pp 3952-60 (2023)
Vision is the main sensory organ for human beings to contact and understand the objective world. The results of various statistical data show that more than 60% of all ways for human beings to obtain external information are through the visual system
Externí odkaz:
https://doaj.org/article/15cd54aa82ce4d108c9864bf96497614
Autor:
Hasan Maher Ahmed
Publikováno v:
مجلة التربية والعلم, Vol 32, Iss 4, Pp 91-103 (2023)
The ability to recognize and distinguish between various textures in an image is made possible by feature extraction, which is a fundamental step in computer vision and image processing. Traditional methods of texture analysis fall short of capturing
Externí odkaz:
https://doaj.org/article/c3f764f42dd54a49b2b6b9f0c2756c03
Autor:
Chiu, Ming-Chuan a, Tsai, Stella Chin-Shaw b, c, Bai, Zhe-Rui a, Lin, Abraham d, Chang, Chi-Chang e, Wang, Guo-Zhi f, Lin, Frank Cheau-Feng f, g, ⁎
Publikováno v:
In Heliyon 15 May 2024 10(9)
Publikováno v:
Xi'an Gongcheng Daxue xuebao, Vol 37, Iss 4, Pp 32-39 (2023)
In order to obtain the yarn quality change information in the spinning process in time and optimize the yarn process parameters, a real-time measurement method for detecting the yarn evenness is proposed. In order to improve the measurement efficienc
Externí odkaz:
https://doaj.org/article/1ba555b6717947ecac96d58385230d41
Autor:
Margarete Dytkowicz, Marcello Tania, Rachel Hinds, William M. Megill, Tillmann K. Buttschardt, Frank Rosell
Publikováno v:
Ecology and Evolution, Vol 14, Iss 2, Pp n/a-n/a (2024)
Abstract Individual recognition of animals is an important aspect of ecological sciences. Photograph‐based individual recognition options are of particular importance since these represent a non‐invasive method to distinguish and identify individ
Externí odkaz:
https://doaj.org/article/6dbc171f553343da932782998dffbb72
Publikováno v:
Measurement: Sensors, Vol 31, Iss , Pp 100948- (2024)
Face Reconstruction is the only biometric that allows you to perform passive identification in one to many environments. By changing the geometry and texture of the facial region, there can be an increased intraclass variability between images of an
Externí odkaz:
https://doaj.org/article/c7049004dcf045109ee83d31417f3121