V. Mariano

Modeling shapes using uniform cubic B-splines for rice seed image analysis

J. P. Pabico, C. N. Peralta, V. Mariano, 2016, 2016 IEEE Sixth International Conference on Communications and Electronics (ICCE).

Evaluation of Methods for Detection and Localization of Text in Video

David J. Crandall, R. Kasturi, S. Antani, 2015 .

A Framework for Reliable Text Based Indexing of Video

David J. Crandall, R. Kasturi, S. Antani, 2015 .

Rule-Based Multiple Target Monitoring in Robot Vision Using Partitioning

Eduardo R. Mendoza, Davood Pour Yousefian Barfeh, Terrence A Lim, 2018 .

Real Time Multi Target Capturing Using Partitioning in Robot Vision

Eduardo R. Mendoza, Davood Pour Yousefian Barfeh, Editha C. Jose, 2017 .

Automated rice leaf disease detection using color image analysis

Vladimir Y. Mariano, Reinald Adrian D. L. Pugoy, V. Mariano, 2011, International Conference on Digital Image Processing.

Image Quality Improvement in Kidney Stone Detection on Computed Tomography Images

Vladimir Y. Mariano, Saman Ebrahimi, V. Mariano, 2015 .

Performance evaluation of object detection algorithms

Jin Hyeong Park, David S. Doermann, Huiping Li, 2002, Object recognition supported by user interaction for service robots.

Extending Color Properties for Texture Descriptor Based on Local Ternary Patterns to Classify Rice Varieties

Tran Thi Kim Nga, V. Mariano, Insoo Koo, 2018, EAI Endorsed Trans. Ind. Networks Intell. Syst..

Combining Binary Particle Swarm Optimization With Support Vector Machine for Enhancing Rice Varieties Classification Accuracy

Insoo Koo, Vladimir Y. Mariano, Tran Thi Kim Nga, 2021, IEEE Access.

Image-based Apple Disease Detection Based on Residual Neural Network and Transfer Learning

V. Mariano, Xiedong Song, 2023, 2023 IEEE 3rd International Conference on Power, Electronics and Computer Applications (ICPECA).

Multiple moving object monitoring in robot vision

Eduardo R. Mendoza, Davood Pour Yousefian Barfeh, Editha C. Jose, 2017, 2017 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS).

Real-time Water Level Monitoring Using Image Sequence Processing

V. Mariano, Arci Jeico P. Malabanan, 2010 .