( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Comparative assessment of efficiency for content based image retrieval systems using different wavelet features and pre-classifier.

, и . Multim. Tools Appl., 74 (24): 11595-11630 (2015)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Manish Gupta

Manish Bhardwaj

Manish Mehta

Kamal Chowdhury

Tobias Chowdhury

 

Другие публикации лиц с тем же именем

Granulometry-Based Trabecular Bone Segmentation., , , , и . SCIA (2), том 10270 из Lecture Notes in Computer Science, стр. 100-108. Springer, (2017)A Ripplet Transform Based Statistical Framework for Natural Color Image Retrieval., , и . ICIAP (1), том 8156 из Lecture Notes in Computer Science, стр. 492-502. Springer, (2013)Endoscopic Image Retrieval System Using Multi-scale Image Features., и . PerMIn, стр. 64-70. ACM, (2015)Segmentation of cortical bone using fast level sets., , , , и . Medical Imaging: Image Processing, том 10133 из SPIE Proceedings, стр. 1013327. SPIE, (2017)An efficient radiographic Image Retrieval system using Convolutional Neural Network., , , , и . ICPR, стр. 3134-3139. IEEE, (2016)A shape context fully convolutional neural network for segmentation and classification of cervical nuclei in Pap smear images., , , , и . Artif. Intell. Medicine, (2020)Interactive Image Retrieval with Wavelet Features., , и . PReMI, том 6744 из Lecture Notes in Computer Science, стр. 167-172. Springer, (2011)Interactive Content Based Image Retrieval Using Ripplet Transform and Fuzzy Relevance Feedback., , и . PerMIn, том 7143 из Lecture Notes in Computer Science, стр. 243-251. Springer, (2012)Interactive radiographic image retrieval system., , и . Comput. Methods Programs Biomed., (2017)Comparative assessment of efficiency for content based image retrieval systems using different wavelet features and pre-classifier., и . Multim. Tools Appl., 74 (24): 11595-11630 (2015)