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Image Segmentation in Wavelet Domain using Fuzzy L
no vote
Three novel algorithms: WK-Means, W-FCM and WCPSFCM, which employ segmentation procedure in wavelet transform space, are developed in this work. All of these procedures are compared with analogues methods without WT application. The commonly used criteria (AUC and ROC curve based on sensibility and specificity characteristics have been used in performance analyses, confirming the better properties of the proposed algorithms. According to experimental verification, the novel WCPSFCM framework, which employs an additional procedure to find a number of clusters in automatic mode without the intervention of a specialist, performs sufficiently well in segmentation.
peyman383690
2018-05-22
0
1
AUTOMATIC SKIN CANCER IMAGES CLASSIFICATION
no vote
an automated medical decision support system for skin cancer developed with normal and abnormal classes. First the discrete wavelet transformation were applied on the images to get the feature vectors, as the dimensionality of the vectors quite large, one needed to reduce it through the principle component analysis.
peyman383690
2018-05-07
0
1
A Fast Single Image Haze Removal Algorithm Using C
no vote
we have proposed a novel linear color attenuation prior, based on the difference between the brightness and the saturation of the pixels within the hazy image. By creating a linear model for the scene depth of the hazy image with this simple but powerful prior and learning the parameters of the model using a supervised learning method, the depth information can be well recovered. By means of the depth map obtained by the proposed method, the scene radiance of the hazy image can be recovered easily. Experimental results show that the proposed approach achieves dramatically high efficiency and outstanding dehazing effects as well.
peyman383690
2018-05-07
0
1
A* Algorithm Autonomous Robots
no vote
The aim of this lab is to understand the A* algorithm and implement it in Matlab. A* uses a best- rst search and nds a least-cost path from a given initial node to the goal node. As A* traverses the graph, it follows a path of the lowest expected total cost or distance, keeping a sorted priority queue of alternate path segments along the way. It uses a knowledge-plus-heuristic cost function of node x to determine the order in which the search visits nodes in the tree.
peyman383690
2016-08-23
1
1
Wavefront planner Autonomous Robots
no vote
The aim of this lab is to understand the wavefront planner algorithm and implement it in Matlab. The theories behind robot maze navigation is immense. It would take several books just to cover the basics. But this labwork only concentrate on the wavefront planner algorithm which is still powerful methods of intelligent robot navigation. The basic concepts and details of the algorithm are going to explained in the next chapter. After that, we are going to see the results.
peyman383690
2016-08-23
1
1
Q learning algorithm Autonomous Robots
no vote
The reinforcement learning algorithm does not force the robot to plan path by using any path planning algorithm, rather the algorithm learns optimal solution by randomly moving inside map for several times. It is an approximation of natural learning process, where unknown problem is solved just by trial and error method. The following sections will brie y discuss about the implementation and the results obtained by the algorithm.
peyman383690
2016-08-23
1
1
Face Recognition using PCA
no vote
Face recognition (FR) is one of the most known/famous applications of Image Analysis and Computer Vision. You certainly have seen some examples in various movies (when investigators try to identify a person for instance). Ok, on TV they often achieve performances that are only possible in fiction! However, several methods have been developped that really work quite efficiently.
peyman383690
2016-08-23
0
1
A Genetic Algorithm-Based Feature Selection
no vote
This article details the exploration and application of Genetic Algorithm (GA) for feature selection. Particularly a binary GA was used for dimensionality reduction to enhance the performance of the concerned classifiers. In this work, hundred (100) features were extracted from set of images found in the Flavia dataset (a publicly available dataset).
peyman383690
2016-08-23
4
1
A class ofproportional-integral sliding mode contr
no vote
The purpose ofthis paper is to present a new robust strategy in controlling the active suspension system. The strategy utilized the proportional-integral sliding mode control scheme. A quarter-car model is used in the study and the performance ofthe controller is compared to the linear quadratic regulator and with the existing passive suspension system.
peyman383690
2016-08-23
3
1
This archive contains a group of MATLAB programs w
no vote
This archive contains a group of MATLAB programs which create graphics of a snake puzzle toy.  This is meant as a set of learning demos. snaketoy.m - Utility for rendering and managing a snake toy figure. snakeclock.m - A digital clock made up of snake toys.
peyman383690
2016-08-23
1
1
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