output
19962024
most citedSegmentation and Classification of Skin Lesions for Disease Diagnosis

231 citations

Showing 2016Show all

9 papers · 1 filter

cs.CV2016★ 7 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.IR2016★ 33 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.CV2016★ 231 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.CV2016★ 39 cited

Animal Classification System: A Block Based Approach

Y H Sharath Kumar, Manohar N, H K Chethan

In this work, we propose a method for the classification of animal in images. Initially, a graph cut based method is used to perform segmentation in order to eliminate the backgrou…

cs.CV2016★ 8 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…