Digital Analysis and Image Processing of Wildlife Species Using TENSORFLOW
Image, Wildlife, Matrix, TENSORFLOW, Digital.
In early days, the digital image processing commonly known as image processing was adopted for general aspects such as standard conversion, photograph enhancement, medical imaging, character recognition within the domain of satellite imagery and medical science. The proposed academic project includes the digital image processing using digital computer and various algorithms through dedicated and general use software’s. The project considers the utilization of digital image processing techniques for wildlife province. The intent of selecting the wildlife domain is to account the effectiveness of digital technologies such as image processing to improve the recognition and identification matrix of wildlife species. The project further involves the finding the gaps or lacunas in current identification procedures through varies surveys and investigation on social level. The important objective of the project is to remove the major gaps or lacunas/hurdles in identification of wildlife species characters through digital image processing with making the system digital, faster, safe, accurate and cheaper. The core project part considers the collection of images from different sources and processing it though digital image processing for general and common uses of quality enhancement and data extraction. The project also includes the data/character extraction through software namely TENSORFLOW and associated algorithms.
"Digital Analysis and Image Processing of Wildlife Species Using TENSORFLOW", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 4, page no.41 - 43, April-2022, Available :https://ijsdr.org/papers/IJSDR2204008.pdf
Volume 7
Issue 4,
April-2022
Pages : 41 - 43
Paper Reg. ID: IJSDR_200208
Published Paper Id: IJSDR2204008
Downloads: 000347216
Research Area: Pharmacy
Country: Morshi, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
