Dr.Anjali Gautam

Assistant Professor - Senior Scale


B.Tech (Computer Science and Engineering), Graphic Era University, Dehradun.

M.Tech (Computer Science and Engineering), Govind Ballabh Pant Engineering College, Uttarakhand Technical University, Dehradun

Ph.D. (Computer Science and Engineering), IIT Roorkee


Area of Specialization:

Image Processing


Research & Publications:

International Journals:


Anjali Gautam, and Balasubramanian Raman. "Local gradient of gradient pattern: a robust image descriptor for the classification of brain strokes from computed tomography images." Pattern Analysis and Applications (2019): 1-21.


Anjali Gautam, and Balasubramanian Raman. "Segmentation of ischemic stroke lesion from 3d MRimages using random forest." Multimedia Tools and Applications 78, no. 6 (2019): 6559-6579.


Anjali Gautam, Balasubramanian Raman, and Shailendra Raghuvanshi. "A hybrid approach for the delineation of brain lesion from CT images." Biocybernetics and Biomedical Engineering 38, no. 3 (2018): 504-518.


International Conferences:

Anjali Gautam, Debanjan Sadhya, and Balasubramanian Raman. "A Modified FCM-Based Brain Lesion Segmentation Scheme for Medical Images." In Proceedings of 3rd International Conference on Computer Vision and Image Processing, pp. 149-159. Springer, Singapore, 2020.


Anjali Gautam, and Balasubramanian Raman. "Automatic Segmentation of Intracerebral Hemorrhage from Brain CT Images." In Machine Intelligence and Signal Analysis, pp. 753-764. Springer, Singapore, 2019.


Anjali Gautam, HS Bhadauria and Annapurna Singh. “White blood nucleus segmentation using automated thresholding and mathematical morphing.” In Proceedings of International Conference on Advances In Engineering And Technology - ICAET-2014, 2014.


Anjali Gautam, Priyanka Singh, Balasubramanian Raman and Harvendra Bhadauria. “Automatic Classification of Leukocytes using Morphological Features and Naïve Bayes Classifier.” In Proceedings of International Conference TENCON, 2016.

5  Anjali Gautam, and HS Bhadauria. “White blood nucleus extraction using K-Mean clustering and mathematical morphing.” In Proceedings of 5th International Conference-Confluence The Next Generation Information Technology Summit (Confluence), 2014.

6  Anjali Gautam, and Harvendra Bhadauria. “Classification of white blood cells based on morphological features”. In Proceedings of 5th International Conference on Advances in Computing, Communications and Informatics (ICACCI)