| Leaf image analysis-based crop diseases classification Y Kurmi, S Gangwar, D Agrawal, S Kumar, HS Srivastava Signal, Image and Video Processing 15 (3), 589-597, 2021 | 38 | 2021 |
| A leaf image localization based algorithm for different crops disease classification Y Kurmi, S Gangwar Information processing in agriculture 9 (3), 456-474, 2022 | 34 | 2022 |
| Multifeature‐based medical image segmentation Y Kurmi, V Chaurasia IET Image Processing 12 (8), 1491-1498, 2018 | 31 | 2018 |
| Shadow detection and compensation in aerial images using MATLAB S Tiwari, K Chauhan, Y Kurmi International Journal of Computer Applications 119 (20), 2015 | 27 | 2015 |
| Classification of magnetic resonance images for brain tumour detection Y Kurmi, V Chaurasia IET Image Processing 14 (12), 2808-2818, 2020 | 25 | 2020 |
| Tumor malignancy detection using histopathology imaging Y Kurmi, V Chaurasia, N Ganesh Journal of medical imaging and radiation sciences 50 (4), 514-528, 2019 | 25 | 2019 |
| Deep CNN model for crops’ diseases detection using leaf images Y Kurmi, P Saxena, BS Kirar, S Gangwar, V Chaurasia, A Goel Multidimensional Systems and Signal Processing 33 (3), 981-1000, 2022 | 22 | 2022 |
| Content-based image retrieval algorithm for nuclei segmentation in histopathology images: CBIR algorithm for histopathology image segmentation Y Kurmi, V Chaurasia Multimedia Tools and Applications 80 (2), 3017-3037, 2021 | 21 | 2021 |
| An image fusion approach based on adaptive fuzzy logic model with local level processing Y Kurmi, V Chaurasia International Journal of Computer Applications 124 (1), 2015 | 18 | 2015 |
| Brain tumor segmentation and classification in MRI using clustering and kernel-based SVM AK Mandle, SP Sahu, G Gupta Biomedical and Pharmacology Journal 15 (2), 699-716, 2022 | 15 | 2022 |
| Microscopic images classification for cancer diagnosis Y Kurmi, V Chaurasia, N Ganesh, A Kesharwani Signal, Image and Video Processing 14 (4), 665-673, 2020 | 15 | 2020 |
| Formation of super-resolution image: a review D Sharma, Y Kurmi, V Chaurasia Int. Jour. of Emerging Tech. and Adv. Engg 4 (4), 218-221, 2014 | 15 | 2014 |
| High dynamic range image analysis through various tone mapping techniques MK Patle, B Chourasia, Y Kurmi International Journal of Computer Applications 975, 8887, 2016 | 14 | 2016 |
| Tuberculosis bacteria analysis in acid fast stained images of sputum smear Y Kurmi, V Chaurasia, A Goel, D Joshi, N Kapoor Signal, Image and Video Processing 15 (1), 175-183, 2021 | 13 | 2021 |
| Design of a histopathology image segmentation algorithm for CAD of cancer Y Kurmi, V Chaurasia, N Kapoor Optik 218, 164636, 2020 | 13 | 2020 |
| Performance of haze removal filter for hazy and noisy images Y Kurmi, V Chaurasia International Journal of Scientific Engineering and Technology 3 (4), 437-439, 2014 | 13 | 2014 |
| Leaf images classification for the crops diseases detection Y Kurmi, S Gangwar, V Chaurasia, A Goel Multimedia Tools and Applications 81 (6), 8155-8178, 2022 | 12 | 2022 |
| Histopathology image segmentation and classification for cancer revelation Y Kurmi, V Chaurasia, N Kapoor Signal, Image and Video Processing 15 (6), 1341-1349, 2021 | 6 | 2021 |
| Image defogging by multiscale depth fusion and hybrid scattering model A Kumar, B Chourasia, Y Kurmi International Journal of Computer Applications 975 (8887), 34-38, 2016 | 6 | 2016 |
| An efficient image denoising approach to remove random valued impulse noise by truncating data inside sliding window S Kumar, JS Yadav, Y Kurmi, A Baronia 2nd International Conference on Data, Engineering and Applications (IDEA), 1-7, 2020 | 5 | 2020 |
Vijayshri ChaurasiaECE Department, MANIT, Bhopal, IndiaVerified email at manit.ac.in
