National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance

All Publications

Saptarshi Chatterjee

Assistant Professor Grade-II
chatterjees@nitrkl.ac.in

S. Chatterjee, D. Dey, and S. Munshi,"Empirical Wavelet Fractal Texture Analysis for Skin Disease Identification", in 2020 IEEE Region 10 Symposium (TENSYMP), IEEE 2020, 10.1109/TENSYMP50017.2020.9230698       Inproceedings
S. Chatterjee, D. Dey, and S. Munshi,"Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classification", Computer methods and programs in biomedicine, Elsevier 2019, 10.1016/j.cmpb.2019.06.018       Article
S. Chatterjee, D. Dey, S. Munshi, and S. Gorai,"Extraction of features from cross correlation in space and frequency domains for classification of skin lesions", Biomedical Signal Processing and Control, vol.53, Elsevier 2019, 10.1016/j.bspc.2019.101581       Article
S. Chatterjee, D. Dey, and S. Munshi,"Morphological, Texture and Auto-encoder based Feature Extraction Techniques for Skin Disease Classification", in Proc. of 2019 IEEE 16th India Council International Conference (INDICON), IEEE 2019, https://doi.org/10.1109/INDICON47234.2019.9028976       Inproceedings
S. Pal, S. Chatterjee, D. Dey, and S. Munshi,"Morphological operations with iterative rotation of structuring elements for segmentation of retinal vessel structures", Multidimensional Systems and Signal Processing, vol.30, pp.373–389, Springer 2018, 10.1007/s11045-018-0561-9       Article
S. Chatterjee, D. Dey, and S. Munshi,"Optimal selection of features using wavelet fractal descriptors and automatic correlation bias reduction for classifying skin lesions", Biomedical Signal Processing and Control, vol.40, pp.252-262, Elsevier 2017, 10.1016/j.bspc.2017.09.028       Article
S. Pal and S. Chatterjee,"Mathematical morphology aided optic disk segmentation from retinal images", in Proc. of 2017 3rd IEEE International Conference on Condition Assessment Techniques in Electrical Systems (CATCON 2017), IEEE 2017, https://doi.org/10.1109/CATCON.2017.8280249       Inproceedings
S. Chatterjee, D. Dey, and S. Munshi,"Development of a Superpixel based Local Color Feature Extraction Technique for the Classification of Skin Lesions", in Proc. of 2017 IEEE Calcutta Conference (CALCON 2017) 2017, 10.1109/CALCON.2017.8280726       Inproceedings
S. Chatterjee, D. Dey, and S. Munshi,"Development of an Efficient Fractal Based Texture Analysis Technique for Improved Classification of Dermoscopic Images", in Proc. of 2016 IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics Engineering (UPCON 2016), IEEE 2016, 10.1109/UPCON.2016.7894649       Inproceedings
S. Chatterjee, D. Dey, and S. Munshi,"Mathematical Morphology aided Shape, Texture and Color Feature Extraction from Skin Lesion for Identification of Malignant Melanoma", in Proc. of 2015 IEEE International Conference on Condition Assessment Techniques in Electrical Systems (CATCON 2015), IEEE 2015, 10.1109/CATCON.2015.7449534       Inproceedings