Comparative analysis for edge detection techniques
Edge detection is a vital feature in the field of Computer Vision for extracting meaningful
information from digital images. The primary aim of our proposed technique is to obtain thin …
information from digital images. The primary aim of our proposed technique is to obtain thin …
Object detection in images with low light condition
Images acquired by computer vision systems under low light conditions are characterized by
the existence of noises. As a rule, it results in decreasing object detection rate. To increase …
the existence of noises. As a rule, it results in decreasing object detection rate. To increase …
Comparison of different convolutional neural network architectures for satellite image segmentation
V Khryashchev, L Ivanovsky, V Pavlov… - … 23rd conference of …, 2018 - ieeexplore.ieee.org
Convolutional neural networks for detection geo-objects on the satellite images from DSTL,
Landsat-8 and PlanetScope databases were analyzed. Three modification of convolutional …
Landsat-8 and PlanetScope databases were analyzed. Three modification of convolutional …
Digital camera in movement tracking on fpga board de2
HAA Alshadoodee, MQ Dhahir… - 2019 International …, 2019 - ieeexplore.ieee.org
This project deals with the problem of detecting objects in real-time using the Altera DE2-
FPGA to store and manipulate images. The detection algorithm was the object selected to …
FPGA to store and manipulate images. The detection algorithm was the object selected to …
Machine learning technique for object detection based on SURF feature
AM Ahsan, DB Mohamad - International Journal of …, 2017 - inderscienceonline.com
Local features that based on interest points have received a great interest in computer vision
field and they play an important role in many applications, such as object recognition …
field and they play an important role in many applications, such as object recognition …
Assisting the visually impaired people using image processing
F Rahman, IJ Ritun, N Farhin - 2018 - dspace.bracu.ac.bd
Visually impaired people face difficulties in safe and independent movement which deprive
them from regular professional and social activities in both indoors and outdoors. Similarly …
them from regular professional and social activities in both indoors and outdoors. Similarly …
[PDF][PDF] Object detection approaches in images: A weighted scoring model based comparative study
H Ouchra, A Belangour - International Journal of …, 2021 - pdfs.semanticscholar.org
Computer vision is a branch of artificial intelligence that trains computers to acquire high-
level understanding of images and videos. Some of the most wellknown areas in Computer …
level understanding of images and videos. Some of the most wellknown areas in Computer …
Face detection algorithms evaluation for the bank client verification
M Szczodrak, A Czyżewski - 2016 Signal Processing …, 2016 - ieeexplore.ieee.org
Results of investigation of face detection algorithms in the video sequences are presented in
the paper. The recordings were made with a miniature industrial USB camera in real …
the paper. The recordings were made with a miniature industrial USB camera in real …
A comparative analysis of feature extraction algorithms for augmented reality applications
MS Alam, MA Morshidi, TS Gunawan… - 2021 IEEE 7th …, 2021 - ieeexplore.ieee.org
The algorithms based on image feature detection and matching are critical in the field of
computer vision. Feature extraction and matching algorithms are used in many computer …
computer vision. Feature extraction and matching algorithms are used in many computer …