Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Pushpalatha S Nikkam"'
Autor:
Pushpalatha S Nikkam, B Eswara Reddy
Publikováno v:
ICTACT Journal on Image and Video Processing, Vol 8, Iss 2, Pp 1607-1613 (2017)
Image based content recognition and retrieval is critical in many applications. Existing mechanisms for content based image retrieval lack in terms of performance. In this paper a hierarchical template tree based CBIR system is described. Content in
Externí odkaz:
https://doaj.org/article/c01ab337412d4e5e847c6497783c8511
Autor:
Pushpalatha S. Nikkam
Publikováno v:
International Journal for Research in Applied Science and Engineering Technology. 9:1860-1866
Lung cancer is one of the causes of death. Early detection of lung cancer can save the life of a patient. The detection is done by many different techniques i.e, image processing, Computer-Aided Design, etc. Digital image processing is the latest eme
Publikováno v:
Alinteri Journal of Agricultural Sciences. 36:138-141
Glaucoma is a habitual eye disorder which harms eye’s second cranial nerve. There are millions of second cranial nerves. The main function of these types of nerves is to sending captured visual information from retina to the brain. The escalate pre
Autor:
Shreedevi Subrahmanya Bhat, Madhuri Kulkarni, Pushpalatha S. Nikkam, Leena I. Sakri, Priyanka Kamath, Swati Kamat
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811642432
Phishing is the despicable utilization of electronic interchanges to trick clients. Phishing assaults resolve to increase delicate data like usernames, passwords, MasterCard information, network qualifications, and the sky is the limit from there. Ph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f563dd14308070afe10d04e7733858f
https://doi.org/10.1007/978-981-16-4244-9_2
https://doi.org/10.1007/978-981-16-4244-9_2
Autor:
B. Eswara Reddy, Pushpalatha S Nikkam
Publikováno v:
ICTACT Journal on Image and Video Processing, Vol 8, Iss 2, Pp 1607-1613 (2017)
Image based content recognition and retrieval is critical in many applications. Existing mechanisms for content based image retrieval lack in terms of performance. In this paper a hierarchical template tree based CBIR system is described. Content in
Autor:
Sujit Bhosale, Archana Nandibewoor, Aijaz Qazi, Saloni Porwal, Pushpalatha S. Nikkam, Vijayendra Nargund, Leena I. Sakri, Aishwarya Sajjanar, Payal Ghorpade
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 1065:012038
In India agriculture is the main source of income for generating the economy. Diseases in plants are a major unavoidable problem, and hence detecting the diseases is the necessity of the day in the domain of agriculture. The main diseases found in to
Autor:
Pushpalatha S. Nikkam, B. Eswara Reddy
Publikováno v:
International Journal of Computer Vision and Image Processing. 6:54-70
Content Based Image Retrieval (CBIR) is the process of retrieving visually similar images from huge datasets. Images are identified based on their content. Content identification using shape features is considered in this paper. Content identificatio
Publikováno v:
2015 International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT).
Image retrieval is a process of retrieving the similar images from a huge dataset. The retrieving of images is done based on the query image and the matched feature with the dataset images. In this paper we have proposed a novel method for efficient
Publikováno v:
2014 Fifth International Conference on Signal and Image Processing.
In computer vision extracting an object from an image automatically is too hard. Towards addressing this issue a comprehensive analysis of most of the Object detection through different Segmentations is performed taken from the major recent publicati