Sudipta Bhuyan - Academia.edu (original) (raw)

Papers by Sudipta Bhuyan

Research paper thumbnail of RGB-D Fusion through Zero-shot Fuzzy Membership Learning for Salient Object Detection

IEEE transactions on artificial intelligence, 2024

Research paper thumbnail of Tsallis entropy based optimal multilevel thresholding using cuckoo search algorithm

Swarm and evolutionary computation, Aug 1, 2013

In this paper, optimal thresholds for multi-level thresholding in an image are obtained by maximi... more In this paper, optimal thresholds for multi-level thresholding in an image are obtained by maximizing the Tsallis entropy using cuckoo search algorithm. The method is considered as a constrained optimization problem. The solution is obtained through the convergence of a meta-heuristic search algorithm. The proposed algorithm is tested on standard set of images. The results are then compared with that of bacteria foraging optimization (BFO), artificial bee colony (ABC) algorithm, particle swarm optimization (PSO) and genetic algorithm (GA). Results are analyzed both qualitatively and quantitatively. It is observed that our results are also encouraging in terms of CPU time and objective function values.

Research paper thumbnail of Task level Planning and Implementation of Robotic Assembly Under Machine Vision Guidance

Robotics offers a flexible automation technology for turning assembly systems into efficient and ... more Robotics offers a flexible automation technology for turning assembly systems into efficient and flexible manufacturing systems. The traditional method of manually generating the task level plan for robotic assembly is very tedious and time consuming. It will be beneficial if the task level planning can be automated. The current paper presents our ongoing research work on developing a knowledge based system to automate the generation of task level plan for robotic assembly. The implementation of the above task level plan has been shown by using a vision assisted robotic assembly system involving a Yaskawa Motoman industrial robot manipulator.

Research paper thumbnail of Tsallis entropy based optimal multilevel thresholding using cuckoo search algorithm

Swarm and Evolutionary Computation, 2013

In this paper, optimal thresholds for multi-level thresholding in an image are obtained by maximi... more In this paper, optimal thresholds for multi-level thresholding in an image are obtained by maximizing the Tsallis entropy using cuckoo search algorithm. The method is considered as a constrained optimization problem. The solution is obtained through the convergence of a meta-heuristic search algorithm. The proposed algorithm is tested on standard set of images. The results are then compared with that of bacteria foraging optimization (BFO), artificial bee colony (ABC) algorithm, particle swarm optimization (PSO) and genetic algorithm (GA). Results are analyzed both qualitatively and quantitatively. It is observed that our results are also encouraging in terms of CPU time and objective function values.

Research paper thumbnail of RGB-D Fusion Based on Fuzzy Optimization for Salient Object Detection

Lecture Notes in Computer Science, Dec 31, 2022

Research paper thumbnail of Estimated Depth Based Progressive Interactive Framework for RGB Salient Object Detection in Images

Research paper thumbnail of Development of a Flexible Assembly System Using Industrial Robot with Machine Vision Guidance and Dexterous Multi-finger Gripper

Lecture notes on multidisciplinary industrial engineering, 2018

In today's era of mass customization, assembly automation systems should be designed with necessa... more In today's era of mass customization, assembly automation systems should be designed with necessary production flexibility to cope with the growing product varieties to adapt to diverse customer requirements, yet the production costs should not be significantly different from those of comparable products made by mass production. In order to cope with this product variety-cost trade-off, robotics offers a flexible automation technology for turning assembly systems into efficient and flexible systems. Despite their great potential for high flexibility, there is a range of issues which must be addressed for its successful implementation. This chapter examines some of these key issues and challenges, reviews the results of previous research and describes our ongoing research on development of a flexible assembly system for mechanical products, using an industrial robot with machine vision guidance and dexterous multi-finger gripper. As part of the research work reported in this chapter, a Sexual Genetic Algorithm (SGA)-based approach for generation of optimal assembly sequence, a knowledge-based system for generating the robot task-level plan, a multi-finger robot gripper for flexible assembly based on a tendon-driven mechanism and an impedance control algorithm, and finally a strategy for implementation of robotic assembly under machine vision guidance have been presented.

Research paper thumbnail of Saliency Based Fast Object Localization and Recognition for Mechanical Assembly

2018 15th IEEE India Council International Conference (INDICON), 2018

This paper presents a fast object localization and recognition approach for mechanical assembly b... more This paper presents a fast object localization and recognition approach for mechanical assembly based on detection of multiple salient regions. Our novel multiple salient object detection technique employs locally adaptive center-surround operations and proto-object partitioning. The proposed approach is implemented in a vision guided industrial robot workspace to perform assembly involving different types of components. Effectiveness and utility of the proposed approach in robotic assembly is demonstrated through different measures obtained from multiple experiments. Detection and recognition rates, angular and positional errors, and computation time of our implementation are found to be better than when multiple salient object detection is not considered.

Research paper thumbnail of Development of a Flexible Assembly System Using Industrial Robot with Machine Vision Guidance and Dexterous Multi-finger Gripper

Lecture Notes on Multidisciplinary Industrial Engineering, 2018

In today's era of mass customization, assembly automation systems should be designed with necessa... more In today's era of mass customization, assembly automation systems should be designed with necessary production flexibility to cope with the growing product varieties to adapt to diverse customer requirements, yet the production costs should not be significantly different from those of comparable products made by mass production. In order to cope with this product variety-cost trade-off, robotics offers a flexible automation technology for turning assembly systems into efficient and flexible systems. Despite their great potential for high flexibility, there is a range of issues which must be addressed for its successful implementation. This chapter examines some of these key issues and challenges, reviews the results of previous research and describes our ongoing research on development of a flexible assembly system for mechanical products, using an industrial robot with machine vision guidance and dexterous multi-finger gripper. As part of the research work reported in this chapter, a Sexual Genetic Algorithm (SGA)-based approach for generation of optimal assembly sequence, a knowledge-based system for generating the robot task-level plan, a multi-finger robot gripper for flexible assembly based on a tendon-driven mechanism and an impedance control algorithm, and finally a strategy for implementation of robotic assembly under machine vision guidance have been presented.

Research paper thumbnail of Structure‐aware multiple salient region detection and localization for autonomous robotic manipulation

IET Image Processing, 2022

Research paper thumbnail of Edge magnitude based multilevel thresholding using Cuckoo search technique

Expert Systems with Applications, 2013

Multilevel thresholding technique is popular and extensively used in the field of image processin... more Multilevel thresholding technique is popular and extensively used in the field of image processing. In this paper, a multilevel threshold selection is proposed based on edge magnitude of an image. The gray level co-occurrence matrix (second order statistics) of the image is used for obtaining multilevel thresholds by optimizing the edge magnitude using Cuckoo search technique. New theoretical formulation for objective functions is introduced. Key to our success is to exploit the correlation among gray levels in an image for improved thresholding performance. Apart from qualitative improvements the method also provides us optimal threshold values. Results are compared with histogram (first order statistics) based betweenclass variance method for multilevel thresholding. It is observed that the results of our proposed method are encouraging both qualitatively and quantitatively.

Research paper thumbnail of RGB-D Fusion through Zero-shot Fuzzy Membership Learning for Salient Object Detection

IEEE transactions on artificial intelligence, 2024

Research paper thumbnail of Tsallis entropy based optimal multilevel thresholding using cuckoo search algorithm

Swarm and evolutionary computation, Aug 1, 2013

In this paper, optimal thresholds for multi-level thresholding in an image are obtained by maximi... more In this paper, optimal thresholds for multi-level thresholding in an image are obtained by maximizing the Tsallis entropy using cuckoo search algorithm. The method is considered as a constrained optimization problem. The solution is obtained through the convergence of a meta-heuristic search algorithm. The proposed algorithm is tested on standard set of images. The results are then compared with that of bacteria foraging optimization (BFO), artificial bee colony (ABC) algorithm, particle swarm optimization (PSO) and genetic algorithm (GA). Results are analyzed both qualitatively and quantitatively. It is observed that our results are also encouraging in terms of CPU time and objective function values.

Research paper thumbnail of Task level Planning and Implementation of Robotic Assembly Under Machine Vision Guidance

Robotics offers a flexible automation technology for turning assembly systems into efficient and ... more Robotics offers a flexible automation technology for turning assembly systems into efficient and flexible manufacturing systems. The traditional method of manually generating the task level plan for robotic assembly is very tedious and time consuming. It will be beneficial if the task level planning can be automated. The current paper presents our ongoing research work on developing a knowledge based system to automate the generation of task level plan for robotic assembly. The implementation of the above task level plan has been shown by using a vision assisted robotic assembly system involving a Yaskawa Motoman industrial robot manipulator.

Research paper thumbnail of Tsallis entropy based optimal multilevel thresholding using cuckoo search algorithm

Swarm and Evolutionary Computation, 2013

In this paper, optimal thresholds for multi-level thresholding in an image are obtained by maximi... more In this paper, optimal thresholds for multi-level thresholding in an image are obtained by maximizing the Tsallis entropy using cuckoo search algorithm. The method is considered as a constrained optimization problem. The solution is obtained through the convergence of a meta-heuristic search algorithm. The proposed algorithm is tested on standard set of images. The results are then compared with that of bacteria foraging optimization (BFO), artificial bee colony (ABC) algorithm, particle swarm optimization (PSO) and genetic algorithm (GA). Results are analyzed both qualitatively and quantitatively. It is observed that our results are also encouraging in terms of CPU time and objective function values.

Research paper thumbnail of RGB-D Fusion Based on Fuzzy Optimization for Salient Object Detection

Lecture Notes in Computer Science, Dec 31, 2022

Research paper thumbnail of Estimated Depth Based Progressive Interactive Framework for RGB Salient Object Detection in Images

Research paper thumbnail of Development of a Flexible Assembly System Using Industrial Robot with Machine Vision Guidance and Dexterous Multi-finger Gripper

Lecture notes on multidisciplinary industrial engineering, 2018

In today's era of mass customization, assembly automation systems should be designed with necessa... more In today's era of mass customization, assembly automation systems should be designed with necessary production flexibility to cope with the growing product varieties to adapt to diverse customer requirements, yet the production costs should not be significantly different from those of comparable products made by mass production. In order to cope with this product variety-cost trade-off, robotics offers a flexible automation technology for turning assembly systems into efficient and flexible systems. Despite their great potential for high flexibility, there is a range of issues which must be addressed for its successful implementation. This chapter examines some of these key issues and challenges, reviews the results of previous research and describes our ongoing research on development of a flexible assembly system for mechanical products, using an industrial robot with machine vision guidance and dexterous multi-finger gripper. As part of the research work reported in this chapter, a Sexual Genetic Algorithm (SGA)-based approach for generation of optimal assembly sequence, a knowledge-based system for generating the robot task-level plan, a multi-finger robot gripper for flexible assembly based on a tendon-driven mechanism and an impedance control algorithm, and finally a strategy for implementation of robotic assembly under machine vision guidance have been presented.

Research paper thumbnail of Saliency Based Fast Object Localization and Recognition for Mechanical Assembly

2018 15th IEEE India Council International Conference (INDICON), 2018

This paper presents a fast object localization and recognition approach for mechanical assembly b... more This paper presents a fast object localization and recognition approach for mechanical assembly based on detection of multiple salient regions. Our novel multiple salient object detection technique employs locally adaptive center-surround operations and proto-object partitioning. The proposed approach is implemented in a vision guided industrial robot workspace to perform assembly involving different types of components. Effectiveness and utility of the proposed approach in robotic assembly is demonstrated through different measures obtained from multiple experiments. Detection and recognition rates, angular and positional errors, and computation time of our implementation are found to be better than when multiple salient object detection is not considered.

Research paper thumbnail of Development of a Flexible Assembly System Using Industrial Robot with Machine Vision Guidance and Dexterous Multi-finger Gripper

Lecture Notes on Multidisciplinary Industrial Engineering, 2018

In today's era of mass customization, assembly automation systems should be designed with necessa... more In today's era of mass customization, assembly automation systems should be designed with necessary production flexibility to cope with the growing product varieties to adapt to diverse customer requirements, yet the production costs should not be significantly different from those of comparable products made by mass production. In order to cope with this product variety-cost trade-off, robotics offers a flexible automation technology for turning assembly systems into efficient and flexible systems. Despite their great potential for high flexibility, there is a range of issues which must be addressed for its successful implementation. This chapter examines some of these key issues and challenges, reviews the results of previous research and describes our ongoing research on development of a flexible assembly system for mechanical products, using an industrial robot with machine vision guidance and dexterous multi-finger gripper. As part of the research work reported in this chapter, a Sexual Genetic Algorithm (SGA)-based approach for generation of optimal assembly sequence, a knowledge-based system for generating the robot task-level plan, a multi-finger robot gripper for flexible assembly based on a tendon-driven mechanism and an impedance control algorithm, and finally a strategy for implementation of robotic assembly under machine vision guidance have been presented.

Research paper thumbnail of Structure‐aware multiple salient region detection and localization for autonomous robotic manipulation

IET Image Processing, 2022

Research paper thumbnail of Edge magnitude based multilevel thresholding using Cuckoo search technique

Expert Systems with Applications, 2013

Multilevel thresholding technique is popular and extensively used in the field of image processin... more Multilevel thresholding technique is popular and extensively used in the field of image processing. In this paper, a multilevel threshold selection is proposed based on edge magnitude of an image. The gray level co-occurrence matrix (second order statistics) of the image is used for obtaining multilevel thresholds by optimizing the edge magnitude using Cuckoo search technique. New theoretical formulation for objective functions is introduced. Key to our success is to exploit the correlation among gray levels in an image for improved thresholding performance. Apart from qualitative improvements the method also provides us optimal threshold values. Results are compared with histogram (first order statistics) based betweenclass variance method for multilevel thresholding. It is observed that the results of our proposed method are encouraging both qualitatively and quantitatively.