I am working on image processing and I have a large dataset.
My question is, I have noisy and non linear vector which contains distance of the samples.
For the linear model, I am using histogram of the vector then i am running it with two pass algorithm. But output is not satasfactory.
Does anybody can help me how can I try it with quadratic model, I tried it with one dimensional squared euclidean distance transform but I think i made a mistakes in some where. I am posting the code, if someone has another idea it would be perfect.
Quadratic equation is s =(f(p) + p2) − (f(q) + q2) / 2p − 2q
%% one dimensional squared euclidean distance transform
function [d] = euclidean (f )
f % Is my vector
G = size(f,1); % is size of the vector
You're missing some things that will make it easier for people to help
1) Some sample data - the "f" vector that gets sent into this
2) Comments. All good code should have comments. Yours has virtually
3) Version of MATLAB you are using along with what toolboxes. For
example, do you have the Image Processing Toolbox, which has a bwdist
function? The bwdist function does the Euclidean Distance Transform,
along with some other distance transforms such as city block,
chessboard, and quasi-euclidean.
4) Plus I don't even know what "one dimensional squared euclidean
distance transform" or the "quadratic model euclidean distance
transform" is or the difference between them. All I know is the
regular EDT like you'd intuitively think about - you know, the one
that uses the Pythagorean Theorem (BTW, why did Euclid get the eponym
instead of Pythagoras).
5) Not sure what f is. Is it an array of 2D coordinates, like an Nx2
array of (x,y) coordinates? If so, what is "f(p)"? And what does 2p,
p2, and q2 mean? What are those? Are they indexes, or (x,y)
6) A description of the "mistakes" you believe you've made. Do you
have any error messages that were generated, or some output data that
you think is counterintuitive?
Do you have any images that illustrate your problem/mistake/situation
that you can upload to http://drop.io?
You are right, sorry , this is the first time that I m posting a message.
Question was not clear.
I am using Matlab 2010a and I have Image processing toolbox.
Let me make the question much more clear
I am working on loopy belief propagation(I am trying to impliment it to the matlab).
I have a vector ex: X
X = [ 1 2 3 5 9 11 18 22 26] ;
as you can see numbers are not increasing in some manner, to solve this (for linear model) I am using two pass algorithm (similar to sort algorithm )
L = size(X,2); % Size of the vector
%Straight forward Pass , checks from left to right
previous = X(i-1) + c ; % add constant value to compare the data fractions
if prev < X(i) % Compare previous sample with actual sample
X(i) = previous ;
%Backward Pass ,it checks from right to left
for i=L-1 :-1:1
previous = X(i+1) + 1;
if prev < X(i) % is the value smaller than previous one ?
X(i) = previous ;
output = 1 2 3 4 5 6 7 8 9
This is working fine but my problem is , as you can see in above function it requires constant value to compare samples with each other. But i dont want to give the constant value to compare it, because in each iteration my values are changing. Also my data set is extremly noisy. thats why it is not increase or decrease in linear manner.
thats why I want to use quadratic model or another thing. Thanks for spending time.
You can think of your watch list as threads that you have bookmarked.
You can add tags, authors, threads, and even search results to your watch list. This way you can easily keep track of topics that you're interested in. To view your watch list, click on the "My Newsreader" link.
To add items to your watch list, click the "add to watch list" link at the bottom of any page.
How do I add an item to my watch list?
To add search criteria to your watch list, search for the desired term in the search box. Click on the "Add this search to my watch list" link on the search results page.
You can also add a tag to your watch list by searching for the tag with the directive "tag:tag_name" where tag_name is the name of the tag you would like to watch.
To add an author to your watch list, go to the author's profile page and click on the "Add this author to my watch list" link at the top of the page. You can also add an author to your watch list by going to a thread that the author has posted to and clicking on the "Add this author to my watch list" link. You will be notified whenever the author makes a post.
To add a thread to your watch list, go to the thread page and click the "Add this thread to my watch list" link at the top of the page.
The newsgroups are a worldwide forum that is open to everyone. Newsgroups are used to discuss a huge range of topics, make announcements, and trade files.
Discussions are threaded, or grouped in a way that allows you to read a posted message and all of its replies in chronological order. This makes it easy to follow the thread of the conversation, and to see what’s already been said before you post your own reply or make a new posting.
Newsgroup content is distributed by servers hosted by various organizations on the Internet. Messages are exchanged and managed using open-standard protocols. No single entity “owns” the newsgroups.
There are thousands of newsgroups, each addressing a single topic or area of interest. The MATLAB Central Newsreader posts and displays messages in the comp.soft-sys.matlab newsgroup.
How do I read or post to the newsgroups?
You can use the integrated newsreader at the MATLAB Central website to read and post messages in this newsgroup. MATLAB Central is hosted by MathWorks.
Messages posted through the MATLAB Central Newsreader are seen by everyone using the newsgroups, regardless of how they access the newsgroups. There are several advantages to using MATLAB Central.
Your MATLAB Central account is tied to your MathWorks Account for easy access.
Use the Email Address of Your Choice
The MATLAB Central Newsreader allows you to define an alternative email address as your posting address, avoiding clutter in your primary mailbox and reducing spam.
Most newsgroup spam is filtered out by the MATLAB Central Newsreader.
Messages can be tagged with a relevant label by any signed-in user. Tags can be used as keywords to find particular files of interest, or as a way to categorize your bookmarked postings. You may choose to allow others to view your tags, and you can view or search others’ tags as well as those of the community at large. Tagging provides a way to see both the big trends and the smaller, more obscure ideas and applications.
Setting up watch lists allows you to be notified of updates made to postings selected by author, thread, or any search variable. Your watch list notifications can be sent by email (daily digest or immediate), displayed in My Newsreader, or sent via RSS feed.
Other ways to access the newsgroups
Use a newsreader through your school, employer, or internet service provider
Pay for newsgroup access from a commercial provider
Use Google Groups
Mathforum.org provides a newsreader with access to the comp.soft sys.matlab newsgroup