most citedSegmentation and Classification of Skin Lesions for Disease Diagnosis

231 citations · 310 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV20167 cited

Symbolic Representation and Classification of Logos

D. S. Guru, N. Vinay Kumar

In this paper, a model for classification of logos based on symbolic representation of features is presented. The proposed model makes use of global features of logo images such as…

cs.IR2016

Term-Class-Max-Support (TCMS): A Simple Text Document Categorization Approach Using Term-Class Relevance Measure

D S Guru, Mahamad Suhil

In this paper, a simple text categorization method using term-class relevance measures is proposed. Initially, text documents are processed to extract significant terms present in…

cs.IR201633 cited

A Novel Term_Class Relevance Measure for Text Categorization

D S Guru, Mahamad Suhil

In this paper, we introduce a new measure called Term_Class relevance to compute the relevancy of a term in classifying a document into a particular class. The proposed measure est…

cs.CV2016231 cited

Segmentation and Classification of Skin Lesions for Disease Diagnosis

Sumithra R, Mahamad Suhil, D. S. Guru

In this paper, a novel approach for automatic segmentation and classification of skin lesions is proposed. Initially, skin images are filtered to remove unwanted hairs and noise an…

cs.CV20168 cited

Delaunay Triangulation on Skeleton of Flowers for Classification

Y H Sharath Kumar, N Vinay Kumar, D S Guru

In this work, we propose a Triangle based approach to classify flower images. Initially, flowers are segmented using whorl based region merging segmentation. Skeleton of a flower i…

cs.CV201621 cited

Features Fusion for Classification of Logos

N. Vinay Kumar, Pratheek, V. Vijaya Kantha +2

In this paper, a logo classification system based on the appearance of logo images is proposed. The proposed classification system makes use of global characteristics of logo image…