Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Shilpa Paygude"'
Publikováno v:
International Journal for Research in Applied Science and Engineering Technology. 10:351-356
Plant disease diagnosis is the foundation for efficient and precise plant disease prevention in today's complicated environment. Plant disease identification has become digitised and data-driven as smart farming has grown, allowing for advanced decis
Publikováno v:
2021 2nd Global Conference for Advancement in Technology (GCAT).
The world today faces the grave crisis of a pandemic that threatens life, health, industries, economies and society as we know it. To tackle the spread of the COVID-19 disease, it is imperative that the individuals affected by it are identified effic
Publikováno v:
2021 6th International Conference on Communication and Electronics Systems (ICCES).
Emotion analysis plays a part in understanding the feelings of human beings. People's actions and speech express various feelings, behaviors and emotions which can have various impacts. Emotion and sentiment analysis is a broad research area for find
Autor:
Shilpa Paygude, Vibha Vyas
Publikováno v:
Archives of Computational Methods in Engineering. 27:285-297
Dynamic Textures are temporal extension of static textures. Texture is defined as an image with some repetitive pattern in it. Dynamic texture (DT) is nothing but video data with some stationary properties and some moving objects in it. DT segmentati
Publikováno v:
International Journal of Image, Graphics and Signal Processing. 10:39-46
Publikováno v:
2017 International Conference on Intelligent Computing and Control Systems (ICICCS).
Data mining also sometimes called data or knowledge discovery is the process of analyzing data from different perspectives and summarizing it into useful information. Image processing is related to Computer vision, which is a high-level image process
Autor:
Shilpa Paygude, Sushila Aghav
Publikováno v:
Procedia Engineering. 38:3222-3227
Printed character recognition is important in the context of document image analysis. Document image analysis analyzes the document images to extract the text and graphics information from image. Text extraction is followed by the character recogniti
Publikováno v:
ICETET
This paper proposes an innovative idea for segmenting a video sequence including vigorous textures in transform domain. The advanced mode is based on the contourlet transform. This transform method agreed to re-evaluate spatiotemporal structures for
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319120119
FICTA (2)
FICTA (2)
The texture which is in motion is known as Dynamic texture. As the texture can change in shape and direction over time, Segmentation of Dynamic Texture is a challenging task. Furthermore, features of Dynamic texture like spatial (i.e., appearance) an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82ef274eb981f9e7e61971f59daee4b1
https://doi.org/10.1007/978-3-319-12012-6_31
https://doi.org/10.1007/978-3-319-12012-6_31
Autor:
Sushila Aghav, Shilpa Paygude
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9788132207399
Document image analysis analyzes the document images to extract the text and graphics information from image. Printed character recognition is important in the context of document image analysis. Machine learning Approach such as pattern recognition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98c03e62fa27f1c668d9dfcf0512dfb2
https://doi.org/10.1007/978-81-322-0740-5_127
https://doi.org/10.1007/978-81-322-0740-5_127