R
R. Suganya
Researcher at Thiagarajar College of Engineering
Publications - 36
Citations - 289
R. Suganya is an academic researcher from Thiagarajar College of Engineering. The author has contributed to research in topics: Image registration & Feature extraction. The author has an hindex of 8, co-authored 35 publications receiving 195 citations. Previous affiliations of R. Suganya include College of Engineering, Guindy.
Papers
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Proceedings ArticleDOI
An automated computer aided diagnosis of skin lesions detection and classification for dermoscopy images
TL;DR: The support vector machine (SVM) classifier was used for classification of skin lesions such as Melanoma, Basal cell carcinoma (BCC), Seborrhoeic keratosis (SK) and Nevus, which has achieved better accuracy as compared to others.
Book ChapterDOI
AIM 2020: Scene Relighting and Illumination Estimation Challenge
Majed El Helou,Ruofan Zhou,Sabine Süsstrunk,Radu Timofte,Mahmoud Afifi,Michael S. Brown,Kele Xu,Hengxing Cai,Yuzhong Liu,Li-Wen Wang,Zhi-Song Liu,Chu-Tak Li,Sourya Dipta Das,Nisarg Shah,Akashdeep Jassal,Tongtong Zhao,Shanshan Zhao,Sabari Nathan,M. Parisa Beham,R. Suganya,Qing Wang,Zhongyun Hu,Xin Huang,Yaning Li,Maitreya Suin,Kuldeep Purohit,A. N. Rajagopalan,Densen Puthussery,P. S. Hrishikesh,Melvin Kuriakose,C. V. Jiji,Yu Zhu,Liping Dong,Zhuolong Jiang,Chenghua Li,Cong Leng,Jian Cheng +36 more
TL;DR: The AIM 2020 challenge on virtual image relighting and illumination estimation as discussed by the authors focused on one-to-one relighting, where the objective was to relight an input photo of a scene with a different color temperature and illuminant orientation.
Journal ArticleDOI
Content Based Image Retrieval of Ultrasound Liver Diseases Based on Hybrid Approach
R. Suganya,S. Rajaram +1 more
TL;DR: A hybrid approach called Support vector machine combined with relevance feedback for the retrieval of liver diseases from Ultrasound (US) images is introduced and comprises several benefits when compared to existing CBIR for medical system by neural network algorithms.
Journal ArticleDOI
Intensity based image registration by maximization of mutual information
TL;DR: An automatic intensity based registration of head images by computer has been employed by applying maximization of mutual information to increase accuracy of the registration and reduce the processing time.
Posted Content
AIM 2020: Scene Relighting and Illumination Estimation Challenge
Majed El Helou,Ruofan Zhou,Sabine Süsstrunk,Radu Timofte,Mahmoud Afifi,Michael S. Brown,Kele Xu,Hengxing Cai,Yuzhong Liu,Li-Wen Wang,Zhi-Song Liu,Chu-Tak Li,Sourya Dipta Das,Nisarg Shah,Akashdeep Jassal,Tongtong Zhao,Shanshan Zhao,Sabari Nathan,M. Parisa Beham,R. Suganya,Qing Wang,Zhongyun Hu,Xin Huang,Yaning Li,Maitreya Suin,Kuldeep Purohit,A. N. Rajagopalan,Densen Puthussery,Hrishikesh P S,Melvin Kuriakose,C. V. Jiji,Yu Zhu,Liping Dong,Zhuolong Jiang,Chenghua Li,Cong Leng,Jian Cheng +36 more
TL;DR: The novel VIDIT dataset used in the AIM 2020 challenge and the different proposed solutions and final evaluation results over the 3 challenge tracks are presented.