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face detection
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Face detection is a computer technology that determines the locations and sizes of human faces in digital images. It detects face and ignores anything else, such as buildings, trees and bodies. Face detection can be regarded as a more general case of face localization . In face localization, the task is to find the locations and sizes of a known number of faces (usually one). In face detecti
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Content Based Image Retrieval System
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In the field of image analysis, segmentation is one of the most important preprocessing steps. One way to
achieve segmentation is by mean of threshold selection, where each pixel that belongs to a determined
class is labeled according to the selected threshold, giving as a result pixel groups that share visual char-acteristics in the image. Several methods have been proposed in order to solve threshold selection prob-lems; in this work, it is used the method based on the mixture of Gaussian functions to approximate the
1D histogram of a gray level image and whose parameters are calculated using three nature inspired algo-rithms (Particle Swarm Optimization, Artificial Bee Colony Optimization and Differential Evolution). Each
Gaussian function approximates the hist
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An ImageJ plugin for combined spectral-lifetime im
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An ImageJ plugin for combined spectral-lifetime image analysi*** An ImageJ plugin for combined spectral-lifetime image analysi**** An ImageJ plugin for combined spectral-lifetime image analysi**** An ImageJ plugin for combined spectral-lifetime image analysi
An ImageJ plugin for combined spectral-lifetime image analysi****
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FeatureSelection_matlab
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FeatureSelection_matlab.... FeatureSelection_matlab....... FeatureSelection_matlab....... FeatureSelection_matlab............... FeatureSelection_matlab....... FeatureSelection_matlab
FeatureSelection_matlab................ FeatureSelection_matlab................... FeatureSelection_matlab............. FeatureSelection_matlab..........
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Vehicle Fuzzy Controller Design Using Imperialist
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In this work a novel socio-politically inspired optimization strategy, an Imperialist Competitive Algorithm, is applied to the problem of
designing a fuzzy controller. The goal is to design a controller to enhance the transient and steady state behaviour of the system output. Having fixed the rule base of the fuzzy system, the controller is designed
through determining the membership functions of the input and output variables. The design method is applied to a model of vehicle. The inputs of the fuzzy
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