6439034
Efficient Image Retrieval By Color Contents
Images are becoming an important asset and managing them for efficient retrieval poses challenges to the database community. In this paper, we proposed a novel three-tier color index that supports efficient image retrieval by color contents which is important to certain applications, especially when shapes and semantic objects cannot be easily recognized. A prototype painting database system is designed and implemented to demonstrate the effectiveness of the proposed indexing technique. Besides the color index, two other indexes, B+-trees for structured attributes and a signature file for free-text descriptions, were also implemented. As a result, a wide range of queries, both text-based and content-based can be processed efficiently. We also look at existing image database systems based on their query retrieval capabilities.
20194190
An Evaluation of Color-Spatial Retrieval Techniques for Large Image Databases
In a color-spatial retrieval technique, the color information is integrated with the knowledge of the colors' spatial distribution to facilitate content-based image retrieval. Several techniques have been proposed in the literature, but these works have been developed independently without much comparison. In this paper, we present an experimental evaluation of three color-spatial retrieval techniques—the signature-based technique, the partition-based algorithm and the cluster-based method. We implemented these techniques and compare them on their retrieval effectiveness and retrieval efficiency. The experimental study is performed on an image database consisting of 12,000 images. With the proliferation of image retrieval mechanisms and the lack of extensive performance study, the experimental results can serve as guidelines in selecting a suitable technique and designing a new technique.
120730704
Robust image denoising using kernel-induced measures
We propose a class of novel nonlinear robust filters for image denoising by incorporating the kernel-induced measures into the classical linear mean filter. Particularly, we place more focus on the Gaussian kernel based filter (GK) due to its simplicity. The GK filter not only generalizes and makes the original linear mean filter highly resistant to outliers but also outperforms a typical and powerful mean-logCauchy filter recently developed by Hamza et al in the mixed noise removal in certain specific conditions in the normalized mean square error (NMSE) sense. The experimental results also illustrate that the kernel-based nonlinear filters are promising.
28521736
Evolvable Hardware in Evolutionary Robotics
In recent decades the research on Evolutionary Robotics (ER) has developed rapidly. This direction is primarily concerned with the use of evolutionary computing techniques in the design of intelligent and adaptive controllers for robots. Meanwhile, much attention has been paid to a new set of integrated circuits named Evolvable Hardware (EHW), which is capable of reconfiguring its architectures unlimited time based on artificial evolution techniques. This paper surveys the application of evolvable hardware in evolutionary robotics. The evolvable hardware is an emerging research field concerning the development of evolvable robot controllers at the hardware level to adapt to dynamic changes in environments. The context of evolvable hardware and evolutionary robotics is reviewed, and a few representative experiments in the field of robotic hardware evolution are presented. As an alternative to conventional robotic controller designs, the potentialities and limitations of the EHW-based robotic system are discussed and summarized.
5670523
The Intelligent Alarm Management System
Nuisance alarms often clutter and obscure a process plant operator's view of critical information, with potentially severe consequences. The intelligent alarm management system (IAMS) suppresses nuisance alarms and provides valuable advisory information to help the operator focus quickly on important alarm information and take correct, quick actions. Test results show that IAMS effectively suppresses nuisance alarms, making alarm systems more helpful.
7510335
Intelligent Sensor Fusion And Learning For Autonomous Robot Navigation
ABSTRACT This paper presents the design and implementation of an autonomous robot navigation system for intelligent target collection in dynamic environments. A feature-based multi-stage fuzzy logic (MSFL) sensor fusion system is developed for target recognition, which is capable of mapping noisy sensor inputs into reliable decisions. The robot exploration and path planning are based on a grid map oriented reinforcement path learning system (GMRPL), which allows for long-term predictions and path adaptation via dynamic interactions with physical environments. In our implementation, the MSFL and GMRPL are integrated into subsumption architecture for intelligent target-collecting applications. The subsumption architecture is a layered reactive agent structure that enables the robot to implement higher-layer functions including path learning and target recognition regardless of lower-layer functions such as obstacle detection and avoidance. The real-world application using a Khepera robot shows the robustnes...
206017109
Design and real-time implementation of a multivariable gyro-mirror line-of-sight stabilization platform
Gyro-mirror line-of-sight stabilization platform is a nonlinear, multivariable and highly coupled system. It forms the basis of a wide range of practical instruments used for the purposes of sighting and targeting in both surface and airborne vehicles, which is capable of maintaining the sightline of a mirror when it is subjected to external disturbances. However, a spinning gyro has a property known as precession such that when a torque is applied to one axis, it will contrary to the intuition of mechanics, and results the rotation in the direction of another axis. This behavior poses a problem in controlling the line-of-sight since movement about one axis will cause a coupled movement in the other. In this paper, an efficient full-matrix fuzzy logic controller is designed and implemented for a practical nonlinear gyro-mirror line-of-sight stabilization platform Both simulation and real-time experimental results demonstrate the effectiveness of the designed full-matrix fuzzy gyroscope control system, which offers an excellent closed-loop response for the transient and tracking performances, with significant reduction in the coupling effect against cross-axis interactions.