Parallel Peer Group Filter for Impulse Denoising in Digital Images on GPU

A new two-steps impulsive noise parallel Peer Group filter for color images using Compute Unified Device Architecture (CUDA) on a graphic card is proposed. It consists of two steps: impulsive noise detection, which uses a Fuzzy Metric as a distance criterion and a filtering step. For the needed ordering algorithm we are using the Marginal Median Filter with forgetful selection sort. Comparisons with other color filters for Graphics Processing Unit (GPU) architectures are presented, demonstrating that our proposal presents better performance in color preservation and noise suppression

Estudio e implementación en GPU de un algoritmo de eliminación de ruido en imagen médica

Parcero Iglesias, E. (2015). Estudio e implementación en GPU de un algoritmo de eliminación de ruido en imagen médica. http://hdl.handle.net/10251/6926

Análisis del Filtro FPGA en Imágenes de Tomografía Computarizada para la Reducción de Dosis Radiactiva

[EN] X-Ray or CT (computed tomography) images may have noise due to image acquisition process. As contaminated images complicate diagnosis many filters have been developed to overcome this problem. In this work we study the behavior of a Fuzzy method called FPGA, which detect and correct impulsive and Gaussian noise, used over a medical image obtained from the mini-MIAS database that has been altered with impulsive and/or Gaussian noise. The aim of the study is verify if FPGA is a candidate to be used as a method to reduce the radiation dose in CT. Results show that FPGA outperforms the rest of the methods studied and it reveals itself as a good candidate to be employed in CT images to reduce the radiation dose.[ES] Las imágenes de Rayos-X o de tomografía computarizada (CT) pueden contener ruido debido al proceso de adquisición. Este ruido complica sustancialmente el proceso diagnóstico, por lo que será necesario el desarrollo de filtros efectivos. En este trabajo se estudia el comportamiento del filtro Fuzzy Peer Group Averaging (FPGA) sobre una colección de imágenes mamográficas que ha sido previamente contaminada con ruido impulsivo y gaussiano. El objetivo del trabajo es averiguar si FPGA es adecuado para la mejora de imágenes CT obtenidas con una dosis de radiación reducida. Los resultados indican que FPGA se comporta, efectivamente, mejor que el resto de métodos estudiados en este trabajo y por tanto resulta un candidato adecuado.This work was partially funded by ANITRAN PROMETEO/2010/039, the Spanish Ministry of Science and Innovation (Project TIN2008-06570-C04-04), and the spin-off Titania (Grupo Dominguis).Parcero Iglesias, E.; Vidal Gimeno, VE.; Verdú Martín, GJ.; Josep Arnal García; Mayo Nogueira, P. (2014). Análisis del Filtro FPGA en Imágenes de Tomografía Computarizada para la Reducción de Dosis Radiactiva. Sociedad Nuclear Española. http://hdl.handle.net/10251/70824

Review : Deep learning in electron microscopy

Deep learning is transforming most areas of science and technology, including electron microscopy. This review paper offers a practical perspective aimed at developers with limited familiarity. For context, we review popular applications of deep learning in electron microscopy. Following, we discuss hardware and software needed to get started with deep learning and interface with electron microscopes. We then review neural network components, popular architectures, and their optimization. Finally, we discuss future directions of deep learning in electron microscopy

Algoritmos paralelos para la corrección de ruido mixto gaussiano-impulsivo en imágenes digitales

Durante el proceso de adquisición o transmisión, las imágenes digitales pueden corromperse mediante ruido. Una tarea fundamental en el procesamiento digital de imágenes es la reducción de éste ruido preservando algunas características como los bordes, texturas y detalles. Dos tipos de ruido comunes son el ruido gaussiano y el ruido impulsivo, los cuales son introducidos durante los procesos de adquisición y transmisión, respectivamente. El tratamiento de imágenes de gran resolución y el filtrado de imágenes en tiempo real, el cual es necesario en gran cantidad de aplicaciones, nos conduce a requerimientos computacionales más altos. En esta investigación se diseñarán e implementarán métodos de filtrado de ruido mixto gaussiano-impulsivo haciendo uso de técnicas de computación de altas prestaciones para tratar imágenes de gran resolución y para hacer factible su ejecución en tiempo real

Sensing and Signal Processing in Smart Healthcare

In the last decade, we have witnessed the rapid development of electronic technologies that are transforming our daily lives. Such technologies are often integrated with various sensors that facilitate the collection of human motion and physiological data and are equipped with wireless communication modules such as Bluetooth, radio frequency identification, and near-field communication. In smart healthcare applications, designing ergonomic and intuitive human–computer interfaces is crucial because a system that is not easy to use will create a huge obstacle to adoption and may significantly reduce the efficacy of the solution. Signal and data processing is another important consideration in smart healthcare applications because it must ensure high accuracy with a high level of confidence in order for the applications to be useful for clinicians in making diagnosis and treatment decisions. This Special Issue is a collection of 10 articles selected from a total of 26 contributions. These contributions span the areas of signal processing and smart healthcare systems mostly contributed by authors from Europe, including Italy, Spain, France, Portugal, Romania, Sweden, and Netherlands. Authors from China, Korea, Taiwan, Indonesia, and Ecuador are also included

Android Based Chatbot and Mobile Application for Tour and Travel Company

Mobile Applications are rapidly growing segment of global mobile market. This paper involves an application for the android base operating system for a travel agent which will conduct booking transactions for train tickets, airline tickets, hotel, theme park, and tour. This application is integrated with a chatbot, an instant messaging applications. Chatbot is a computer program that can communicate with users. The purpose of chatbot is to support and scale business teams in their relations with customers. This chatbot can be placed in Facebook Messenger, telegram and own website, so it gives the potential to reach a bigger audience. Customers do not need to install new applications. The customer just simply adds chatbot as a friend and starts transacting with a conversation, without needing to understand the intended user interface in an application. By using chatbot, the company can also shorten sales transactions. Company can also broadcast information directly to customers easily. In this paper, we first discuss about chatbot and mobile application system design. Finally we will discuss about the system implementation