Zobrazeno 1 - 10
of 1 357
pro vyhledávání: '"Prabhakar C"'
Autor:
Mangesh Tiwaskar, Prabhakar C Koregol, Hari Hara Krishnan, Dinesh Agarwal, Omer Hasan, Mahesh Abhyankar, Santosh Revankar, Neeraj Kumar
Publikováno v:
Heart India, Vol 11, Iss 1, Pp 19-27 (2023)
Objective: The objective of this study was to seek the opinion of Indian health-care professionals (HCPs) about hypertension (HTN) care during coronavirus disease 2019 (COVID-19) era. Methods: HCPs' opinions (n = 2832) were recorded based on survey a
Externí odkaz:
https://doaj.org/article/ef705c17f3c743b9aea6aa13448f49d7
Autor:
S., Nagaraja, J., Prabhakar C.
In this paper, we present a novel approach for image retrieval based on extraction of low level features using techniques such as Directional Binary Code, Haar Wavelet transform and Histogram of Oriented Gradients. The DBC texture descriptor captures
Externí odkaz:
http://arxiv.org/abs/1503.03606
Autor:
Mohana, S. H., Prabhakar, C. J.
This paper presents a novel method to grade the date fruits based on the combination of shape and texture features. The method begins with reducing the specular reflection and small noise using a bilateral filter. Threshold based segmentation is perf
Externí odkaz:
http://arxiv.org/abs/1501.01090
Autor:
Mohana, S. H., Prabhakar, C. J.
This paper presents a novel method to recognize stem - calyx of an apple using shape descriptors. The main drawback of existing apple grading techniques is that stem - calyx part of an apple is treated as defects, this leads to poor grading of apples
Externí odkaz:
http://arxiv.org/abs/1501.01083
Publikováno v:
In Materials Today: Proceedings 2020 26 Part 2:1356-1359
In this paper, we present feature-based technique for construction of mosaic image from underwater video sequence, which suffers from parallax distortion due to propagation properties of light in the underwater environment. The most of the available
Externí odkaz:
http://arxiv.org/abs/1411.2090
Autor:
K, Jyothi, J, Prabhakar C.
In this paper, we present multimodal 2D +3D face recognition method using block based curvelet features. The 3D surface of face (Depth Map) is computed from the stereo face images using stereo vision technique. The statistical measures such as mean,
Externí odkaz:
http://arxiv.org/abs/1405.2641
Autor:
G, Prabhakar C., Reddy, M Sreenivas, Rajendrachari, Shashanka, Mahale, Rayappa Shrinivas, Mahesh, V., Pandith, Anup
Publikováno v:
Journal of Composites Science; Jan2024, Vol. 8 Issue 1, p31, 16p
Autor:
Prabhakar, C. J., Kumar, P. U. Praveen
Publikováno v:
International Journal of Machine Intelligence, Volume 3, Issue 4, pages 217-224, 2011
The underwater images usually suffers from non-uniform lighting, low contrast, blur and diminished colors. In this paper, we proposed an image based preprocessing technique to enhance the quality of the underwater images. The proposed technique compr
Externí odkaz:
http://arxiv.org/abs/1212.0291
Autor:
Prabhakar, C. J., Kumar, P. U. Praveen
In this paper, we propose a novel technique to reconstruct 3D surface of an underwater object using stereo images. Reconstructing the 3D surface of an underwater object is really a challenging task due to degraded quality of underwater images. There
Externí odkaz:
http://arxiv.org/abs/1211.2082