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BRAIN TUMOR FROM MRI SCAN detection
no vote
Digital image processing is an area characterized by the need forextensive experimental work to establish the viability of proposed solutions toa given problem. An importantcharacteristic underlying the design of image processing systems is thesignificant level of testing & experimentation that normally is requiredbefore arriving at an acceptable solution. This characteristic implies that theability to formulate approaches &quickly prototype candidate solutions generallyplays a major role in reducing the cost & time required to arrive at aviable system implementation.
mdiwakar 0 0
1
brain tumor detection using segmentation
5.0
There is no general agreement among authors regarding where imageprocessing stops & other related areas such as image analysis& computervision start. Sometimes a distinction is made by defining image processing as adiscipline in which both the input & output at a process are images. Thisis limiting & somewhat artificial boundary. The area of image analysis(image understanding) is in between image processing & computer vision. There are no clear-cut boundaries in the continuu
mdiwakar 0 0
1
Image Security Using Cellular Automata
no vote
In this age of universal electronic connectivity, there is no time at which security does not matter. With the increase in usage of transmission of digital images over the network, there is need of more secure systems. The main aim of this paper is to achieve two main principles of security i.e. authenticity and confidentiality, particularly for transmission of images over a network. Authenticity ensures that only the intended receiver is able to receive the message and confidentiality ensures that the message is confidential. For achieving these two principles, there are lots of mechanisms available. e.g. the most common practices for achieving authenticity are passwords, access control etc. and for achieving confidentiality, there are lots of symmetric and asymmetric encryption methods available.
mdiwakar 1 0
1
Clouds: Concept to Optimize the Quality of Service
no vote
Strongly promoted by the leading industrial companies, cloud computing becomes increasingly popular in recent years. Cloud Computing allows us to abstract distributed elastic IT resources behind an interface that promotes scalability and dynamic resource allocation. The terminology applied to this kind of processing, when describing shared resources, Such resources are available on demand and at a significantly lower cost compared to self-delivery of individual components. The spread of the cloud computing will be beneficial to the development of our society. But multiusers, the fundamental environment may lead to many problems when the cloud computing system is being setting up.
mdiwakar 1 0
1
face matching1
no vote
fprintf('Creating & training the machine ->\n');
fprintf('This may take a while. Have a tea or\n');
fprintf('coffee or something. Please entertain\n');
fprintf('yourself until further notice ...\n');
T = cell2mat(IMGDB(2,:));
P = cell2mat(IMGDB(3,:));
net = svmtrain(P',T','Kernel_Function','linear','Polyorder',2,'quadprog_opts',options);
%net = svmtrain(P',T','Kernel_Function','quadratic','Polyorder',4,'quadprog_opts',options);
%fprintf('done. \n');
fprintf('Number of Support Vectors: %d\n',size(net.SupportVectors,1));
classes = svmclassify(net,P');
fprintf('done. %d \n',sum(abs(classes-T')));
save net net
NET = net;
mdiwakar 0 0
1
IMAGE ENHANCEMENT
no vote
first is pre-processing
of given MRI image and after that segmentation and then performs morphological
operations. Steps of algorithm are as following:-
1) Give MRI image of
brain as input.
2) Convert it to gray
scale image.
3) Apply high pass
filter for noise removal.
4) Apply median filter
to enhance the quality of image.
5) Compute threshold
segmentation.
6) Compute watershed
segmentation.
7) Compute morphological
operation.
8) Finally output will
be a tumour region.
mdiwakar 2016-08-23
mdiwakar 1 0
1
mean filters
no vote
spatial domain:
filters are available for image enhancement. adaptive filter, mean filter, geometric filter, order statistics filter.
mdiwakar 1 0
1
brain tumor
no vote
mdiwakar 1 0
1
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