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Chez

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29 Aug 2013 Screenshot Content Based Image Retrieval Simple content based image retrieval for demonstration purposes. Either using knn or classification Author: Chez image retrieval, content based image r..., classification, svm, sir i have a doubt of... 159 12
  • 4.0
4.0 | 3 ratings
29 Aug 2013 Screenshot DWT - SVD robust and secure watermarking scheme Watermarking scheme based on DWT and SVD techniques. Author: Chez watermarking, tamperproofing, steganography 120 13
  • 4.5
4.5 | 3 ratings
Comments and Ratings by Chez View all
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30 Jun 2014 Content Based Image Retrieval Simple content based image retrieval for demonstration purposes. Either using knn or classification Author: Chez

@Drumzhead,

Dear Drumzhead,

each of the 6 features you're referring to is on its own a variable length array or a feature vector if you prefer. What that means is that for instance if we take the first feature of the 6 you mentioned which is "hsvHist" and we print its values you can see that it is not a variable or a feature corresponding to one particular value, rather it's a vector of 64 or 128 values. The same holds for the rest of the 6 features you're referring to.

Hope that helps!

21 May 2014 DWT - SVD robust and secure watermarking scheme Watermarking scheme based on DWT and SVD techniques. Author: Chez

@Eshwar Gowda: you're right I will add a readme file once I get some free time. Until then you can read my answer to @ddd hhh: about how the application works. Thanks!

18 May 2014 Content Based Image Retrieval Simple content based image retrieval for demonstration purposes. Either using knn or classification Author: Chez

@Sun-hwa,

You have to be aware that the svm button will not work unless you configure it to work with your dataset. What do I mean is that you will have to find out how many classes you have in your dataset and configure the svm.m file accordingly.

For instance if your dataset has 10 classes total then you will have to configure either the names of the images to fall under the wang’s dataset schema or you’ll have to modify the code in svm.m file.

Notice that the wang dataset has 10 classes with 100 images each:
For instance images 0 through 99 belong to class 1
Images 100 through 199 belong to class 2
Images 200 through 299 belong to class 3
.
.
.
Etc.

So modify your dataset names of images accordingly or as I said above modify the svm.m file at the section where it creates the labels for each class.

Hope that helps.

02 Dec 2013 Content Based Image Retrieval Simple content based image retrieval for demonstration purposes. Either using knn or classification Author: Chez

@christopher, make sure your matlab version supports dwt2 function, and may I ask what kind of image are you inputting???

11 Nov 2013 DWT - SVD robust and secure watermarking scheme Watermarking scheme based on DWT and SVD techniques. Author: Chez

@dungke, you can definitely use the functions "de2bi" and "bi2de" instead of "decimalToBinaryVector" and "binaryToDecimalVector" in signature embedding

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07 Jul 2014 Content Based Image Retrieval Simple content based image retrieval for demonstration purposes. Either using knn or classification Author: Chez DGSN

WIL BE TESTED

30 Jun 2014 Content Based Image Retrieval Simple content based image retrieval for demonstration purposes. Either using knn or classification Author: Chez Chez

@Drumzhead,

Dear Drumzhead,

each of the 6 features you're referring to is on its own a variable length array or a feature vector if you prefer. What that means is that for instance if we take the first feature of the 6 you mentioned which is "hsvHist" and we print its values you can see that it is not a variable or a feature corresponding to one particular value, rather it's a vector of 64 or 128 values. The same holds for the rest of the 6 features you're referring to.

Hope that helps!

13 Jun 2014 Content Based Image Retrieval Simple content based image retrieval for demonstration purposes. Either using knn or classification Author: Chez Drumzhead Chongpratheep

Dear Chez,

I have gone through your code for feature vector extraction and notice that there're about 6 features composing one feature vector as the code below.

File Name: cbir.m / Line: 446
% construct the dataset
set = [hsvHist autoCorrelogram color_moments meanAmplitude msEnergy wavelet_moments];

However, when I open .mat file, it contains 190 columns of value for each vector (excluding the last column allocated the No. of image).

Could you please clarify what is 190 columns of value represent for?

Thanks

21 May 2014 DWT - SVD robust and secure watermarking scheme Watermarking scheme based on DWT and SVD techniques. Author: Chez Chez

@Eshwar Gowda: you're right I will add a readme file once I get some free time. Until then you can read my answer to @ddd hhh: about how the application works. Thanks!

18 May 2014 Content Based Image Retrieval Simple content based image retrieval for demonstration purposes. Either using knn or classification Author: Chez Chez

@Sun-hwa,

You have to be aware that the svm button will not work unless you configure it to work with your dataset. What do I mean is that you will have to find out how many classes you have in your dataset and configure the svm.m file accordingly.

For instance if your dataset has 10 classes total then you will have to configure either the names of the images to fall under the wang’s dataset schema or you’ll have to modify the code in svm.m file.

Notice that the wang dataset has 10 classes with 100 images each:
For instance images 0 through 99 belong to class 1
Images 100 through 199 belong to class 2
Images 200 through 299 belong to class 3
.
.
.
Etc.

So modify your dataset names of images accordingly or as I said above modify the svm.m file at the section where it creates the labels for each class.

Hope that helps.

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