Arpitam Chatterjee

发表

Morphological feature based maturity level identification of Kalmegh and Tulsi leaves

Bipan Tudu, Gunjan Mukherjee, Arpitam Chatterjee, 2017, 2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN).

A Hybrid Particle Swarm Optimization and Artificial Bee Colony Algorithm for Image Contrast Enhancement

Bipan Tudu, Arpitam Chatterjee, Saorabh Kumar Mondal, 2018 .

Exploring the Scope of HSV Color Channels Towards Simple Shadow Contour Detection

Jayeeta Saha, Arpitam Chatterjee, 2017, PReMI.

Image Contrast Enhancement Using a Crossover-Included Hybrid Artificial Bee Colony Optimization

Arpitam Chatterjee, Saorabh Kumar Mondal, Bipan Tudu, 2017 .

Study on the potential of combined GLCM features towards medicinal plant classification

Bipan Tudu, Gunjan Mukherjee, Arpitam Chatterjee, 2016, 2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC).

Binary grayscale halftone pattern generation using binary artificial bee colony (bABC)

Bipan Tudu, Arpitam Chatterjee, Kanai Ch. Paul, 2013, Signal Image Video Process..

Binary genetic algorithm-based pattern LUT for grayscale digital half-toning

Arpitam Chatterjee, Bipan Tudu, Kanai Ch. Paul, 2013, Signal Image Video Process..

Grayscale digital halftoning using BPSO-GA combined optimization technique

Bipan Tudu, Arpitam Chatterjee, Kanai Ch. Paul, 2011, 2011 International Conference on Image Information Processing.

Halftone Feature Based Classification of Commercial White Print Paper Using BP-MLP

Dipankar Mandal, Bipan Tudu, Arpitam Chatterjee, 2014, 2014 Fourth International Conference of Emerging Applications of Information Technology.

A temporal memory-based ordered dithering using recurrent neural network

Bipan Tudu, Arpitam Chatterjee, Kanai Ch. Paul, 2013 .

Towards optimized binary pattern generation for grayscale digital halftoning: A binary particle swarm optimization (BPSO) approach

Bipan Tudu, Arpitam Chatterjee, Kanai Ch. Paul, 2012, J. Vis. Commun. Image Represent..

Print Scum Identification using DCT based Computer Vision Method

Jayeeta Saha, Arpitam Chatterjee, Shilpi Naskar, 2018, 2018 Fourth International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN).

Grayscale digital halftoning using binary PSO

Bipan Tudu, Arpitam Chatterjee, Kanai Ch. Paul, 2011, 2011 International Conference on Recent Trends in Information Systems.

Image Contrast Enhancement Using Histogram Equalization-Based Grey Wolf Optimizer (GWO)

Arpitam Chatterjee, Saorabh Kumar Mondal, Bipan Tudu, 2019 .

An approach for ordered dither using artificial neural network

Bipan Tudu, Arpitam Chatterjee, Kanai Ch. Paul, 2010, International Conference on Digital Image Processing.

Application of Recurrent Neural Network for Generating Grayscale Digital Half-Tone Images

Bipan Tudu, Arpitam Chatterjee, Kanai Ch. Paul, 2011, 2011 Second International Conference on Emerging Applications of Information Technology.

Grayscale digital halftoning using computational intelligence Methodologies

Arpitam Chatterjee, 2012 .

A computer vision approach for grade identification of rice bran

Gunjan Mukherjee, Arpitam Chatterjee, Devraj Vishnu, 2017, 2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN).

A convolutional neural network-driven computer vision system toward identification of species and maturity stage of medicinal leaves: case studies with Neem, Tulsi and Kalmegh leaves

Bipan Tudu, Gunjan Mukherjee, Arpitam Chatterjee, 2021, Soft Computing.

A deep neural network and random forests driven computer vision framework for identification and prediction of metanil yellow adulteration in turmeric powder

Bipan Tudu, Arpitam Chatterjee, Dipankar Mandal, 2022, Concurr. Comput. Pract. Exp..

Convolution Neural Network-Driven Computer Vision System for Identification of Metanil Yellow Adulteration in Turmeric Powder

Bipan Tudu, Arpitam Chatterjee, Dipankar Mandal, 2021, Advances in Intelligent Systems and Computing.