Human detection techniques for real time surveillance: a comprehensive survey
Real-time detection of humans is an evolutionary research topic. It is an essential and
prominent component of various vision based applications. Detection of humans in real-time …
prominent component of various vision based applications. Detection of humans in real-time …
Significance of color spaces and their selection for image processing: a survey
The human visual system is encompassed with three components that help to produce a
color sensation. The color display devices use this concept and create their full range of …
color sensation. The color display devices use this concept and create their full range of …
Interactive blood vessel segmentation from retinal fundus image based on canny edge detector
Optometrists, ophthalmologists, orthoptists, and other trained medical professionals use
fundus photography to monitor the progression of certain eye conditions or diseases …
fundus photography to monitor the progression of certain eye conditions or diseases …
Autoencoders based deep learner for image denoising
Nowadays, digital images have a valuable role in our daily life, and can be used for various
of applications like fingerprint recognition, video surveillance etc. Sometimes, images get …
of applications like fingerprint recognition, video surveillance etc. Sometimes, images get …
[HTML][HTML] Classification of buildings from VHR satellite images using ensemble of U-Net and ResNet
S Vasavi, HS Somagani, Y Sai - The Egyptian Journal of Remote Sensing …, 2023 - Elsevier
The urbanization rate of India is 35.9% by 2022 reports. In this 45.23% of urbanization is
happening in Maharashtra and it is the third most urbanized state of India after Tamil Nadu …
happening in Maharashtra and it is the third most urbanized state of India after Tamil Nadu …
Algorithm for extracting contours of agricultural crops images
N Mamatov, M Jalelova, B Samijonov… - ITM Web of …, 2024 - itm-conferences.org
Currently, identification of crop diseases and their prevention is one of the main problems in
the field of agriculture. Conventional visual inspection is a time and money consuming …
the field of agriculture. Conventional visual inspection is a time and money consuming …
Object detection using convolutional neural networks and transformer-based models: a review
S Shah, J Tembhurne - Journal of Electrical Systems and Information …, 2023 - Springer
Transformer models are evolving rapidly in standard natural language processing tasks;
however, their application is drastically proliferating in computer vision (CV) as well …
however, their application is drastically proliferating in computer vision (CV) as well …
Design of a Gabor filter-based image denoising hardware model
The intervention of noise into images during data acquisition and transmission is inevitable.
Hence, the denoising of such affected images is essential in order to have effective image …
Hence, the denoising of such affected images is essential in order to have effective image …
Using edge detection techniques and machine learning classifications for accurate lithological discrimination and structure lineaments extraction: a comparative case …
Satellite images are used, among other functions, for geologic feature extraction. Scientists
have developed advanced, cutting-edge, and reliable data extraction processing …
have developed advanced, cutting-edge, and reliable data extraction processing …
Canny edge detection analysis based on parallel algorithm, constructed complexity scale and CUDA
LI Mochurad - Computing and Informatics, 2022 - cai.sk
Edge detection is especially important for computer vision and generally for image
processing and visual recognition. On the other hand, digital image processing is widely …
processing and visual recognition. On the other hand, digital image processing is widely …