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Monocytes (M) and macrophages (Mφ) cells aremononuclear essential components of the innate immunesystem response. (M) and (Mφ) are mononuclear phagocytesthat have crucial distinct roles in tissue homeostasisand immunity. (M) are key players during inflammationand pathogen challenge also are precursor of (Mφ), whereas tissue resident (Mφ) have important functions...
In this paper, we present a robust and imperceptible hybrid watermarking method in order to be applied to digital color images with the purpose of detecting illegal copies, using a customer robust authentication. In order to improve the robustness of the proposed method against several common signal processing and geometrical attacks, two different algorithms for embedding a unique watermark are used...
Face image analysis continues as an ongoing challenge in biometrics and image processing due to the state variations of facial elements. In this context, the mouth-state plays a fundamental role because its impact on the perception of facial gestures. Current work on mouth-state detection is mainly focused on the creation of classifiers derived from large training datasets. This technique requires...
In this paper, an alternative to provide mobile robot with the ability-skill to detect and avoidance object in unknown environments is proposed. The robot can detect objects using infrared sensor to avoidance it with hybrid system through distance measurement and vision system. Low latency calculation allow for direct usage within control loops of mobile robot. The velocity of the robot is from 0...
Multimedia data grows fast due to advances in information technologies, creating the demand for efficient video indexing and object retrieval techniques. Traditional methods consume significant computational resources such as storage space and processing time. In this paper we propose an efficient content-based video retrieval system that is based on three main stages. The first stage involves computing...
In order to reduce the noise effect in gray scale images, an algorithm that combines a Pulse-Coupled Neural Network (PCNN) and the median estimator is proposed to remove Salt and Pepper noise. The proposed algorithm is based on a simplified PCNN called Intersection Cortical Model (ICM). By using the output images of ICM, we can ratify that the pixel position corresponds to Salt and Pepper noise. Then,...
Segmentation is the processes of classification of pixels according to certain criteria. Segmentation is widely used in a variety of application including monitoring, surveillance and object detection. The Choquet Fuzzy Integral has been used for segmentation achieving good results. The present work proposes an architecture for Choquet Fuzzy Integral implemented in VHDL. The current implementation...
This paper studies the stages of planning andanalysis used to determine the influence of certain factors incontrolling geometric figures dimension by computer vision. Itwas used as bases techniques used as image processing toinspect objects, in order to reduce measurement errors inexisting manual process. It uses the 3k factorial design where itis assessed that it's possible of processing a digital...
This paper presents the recognition results about exploring the combination of an approach based on non-rigid deformation with a block-wise method to describe the facial deformation caused by the muscle contractions and expansions that are presented in facial expressions. The proposed feature extraction method takes advantage of the knowledge related to which parts of the face reflects the highest...
This paper shows the experimental validation of the forward and inverse kinematic model (position and velocity), of the CyberForce haptic device (CHD). For trajectory tracking is used a passive control technique in operational coordinates (cartesian workspace) and its experimental results in the joint-space. The contribution in passive haptic guidance, is on virtual maze navigation with purposes of...
A modified Hopfield Artificial Neural Network is proposed to solve effectively and efficiently Boolean Satisfiability (SAT) NP-hard problems. The proposed Neural Network is compared against other traditional methods employed in this field, such as Greedy SAT and Genetic Algorithms for SAT. The results show that the proposed network represents a good alternative given their output quality and response...
This paper presents a modification to the AffineProjection-Like I Algorithm for adaptive filtering withthe purpose of reducing the number of updates and sothe computational load. The modification is achievedby codifying the error and setting a threshold in orderthat the adaptive filter does not need to calculate thealgorithm every iteration. Simulation results showsame convergence speed than the Affine...
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