Method execution on a distributed image processing back-end
نویسندگان
چکیده
منابع مشابه
بزرگنمایی تصویر با استفاده از تقریب بهترین صفحه
Image zooming is one of the existing issues discussed in image processing in which the person is interested in enlarging a certain picture and fitting it into the visible area of the display devices. In zooming activities it is necessary that extra pixels be inserted in the information image. The addition of the image data should be suitable with the texture of the image without producing artif...
متن کاملDistributed Real Time Data ow An Execution Paradigm for Image Processing and Anti Submarine Warfare Applications
The central thesis of this project is that real time scheduling theory can be combined with data ow methodologies to bound latency and memory utilization of distributed signal processing applications such as those found in anti submarine warfare and image processing To this end we propose a new real time data ow paradigm that is based on the Navy s Processing Graph Method PGM which is similar t...
متن کاملAccurate Fruits Fault Detection in Agricultural Goods using an Efficient Algorithm
The main purpose of this paper was to introduce an efficient algorithm for fault identification in fruits images. First, input image was de-noised using the combination of Block Matching and 3D filtering (BM3D) and Principle Component Analysis (PCA) model. Afterward, in order to reduce the size of images and increase the execution speed, refined Discrete Cosine Transform (DCT) algorithm was uti...
متن کاملMeeting End-to-End Deadlines Through Distributed Local Deadline Assignment
In a distributed real-time system, transactions are executed on a number of processors and must complete by their end-to-end deadlines. Without considering resource competition among different transactions on a given processor, transaction deadline requirements may be violated. We present a distributed local deadline assignment approach that allows different transactions to have different paths...
متن کاملIdentification of Houseplants Using Neuro-vision Based Multi-stage Classification System
In this paper, we present a machine vision system that was developed on the basis of neural networks to identify twelve houseplants. Image processing system was used to extract 41 features of color, texture and shape from the images taken from front and back of the leaves. The features were fed into the neural network system as the recognition criteria and inputs. Multilayer perceptron (MLP) ne...
متن کامل