Images not choose

[JavaPalash]

Hello Sir, My self Palash Hinglaspurkar I am doing a academic project to detect the breast cancer. so I need to get the features from the images my project Is also on swing so. I downloaded your project "texture-classification-glcm-nb" its successfully run it but, when I choose the training data its shows me the dialogue box that no valid training data can you please me for this..

[ard333]

"There are no valid training data..." happend when all file names in choosed directory are not match with pattern in MainController line 112. Moreover, you can check line 116 and 118 for further conditions.

[JavaPalash]

I just give a one breast cancer image with the name as "Banign1.jpg" And what should i give input in test data?

Thanks and regards

Palash Hinglaspurkar

On Wed, 24 Apr, 2019, 4:48 PM Ardiansyah, notifications@github.com wrote:

"There are no valid training data..." happend when all file names in choosed directory are not match with pattern in MainController line 112.

https://github.com/ard333/texture-classification-glcm-nb/blob/master/src/main/java/com/ard333/textureclassification/glcmnb/controller/MainController.java#L112

Moreover, you can check line 16 and 18 for further conditions.

https://github.com/ard333/texture-classification-glcm-nb/blob/de4823f19f3f17c2b5dcd5af9055b6880e2bc99f/src/main/java/com/ard333/textureclassification/glcmnb/controller/MainController.java#L114

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[ard333]

You can try Banign.1.jpg And make sure the number is match to the order in TextureClass.

For example, mine is Wood, Brick, Fur, Plaid so, Wood should be 1, Brick should be 2, and so on.

[JavaPalash]

Its taken the image by name Banign.1.jpg but now what i passed in test data?

when i passed the same image in test its shown me an error

On Wed, 24 Apr, 2019, 5:09 PM Ardiansyah, notifications@github.com wrote:

You can try Banign.1.jpg And make sure the number is match to the order in TextureClass https://github.com/ard333/texture-classification-glcm-nb/blob/master/src/main/java/com/ard333/textureclassification/glcmnb/model/TextureClass.java .

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[ard333]

Whats error?

[JavaPalash]

What should i pass in testing section? This is now a question.

when i pass the same image that i pass in training section its shown me an error "Arrayindxoutofboundexception" in MainController.java line number 160

On Wed, 24 Apr, 2019, 5:36 PM Ardiansyah, notifications@github.com wrote:

Whats error?

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[ard333]

I think your value in TextureClass and the number in file name in is not match.

Please re-check my comment here https://github.com/ard333/texture-classification-glcm-nb/issues/1#issuecomment-486186851

or can you show me all training data file name and the value in TextureClass?

[JavaPalash]

OK Just Check the data I have breast cancer images Such as Benign,Malign and normal images. and texture class also find the attached document

On Wed, 24 Apr, 2019, 6:10 PM Ardiansyah, notifications@github.com wrote:

I think your value in TextureClass and the number in file name in is not match.

Please re-check my comment here

1 (comment)

https://github.com/ard333/texture-classification-glcm-nb/issues/1#issuecomment-486186851

or can you show me the all training data file name and the value in TextureClass?

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[ard333]

Then just set in TextureClass Benign, Malign, Normal

and for the file name, for example

yourfirstbenignimagename.1.jpg yoursecondtbenignimagename.1.jpg blablablawhatever.1.jpg . . yourfirstmalignimagename.2.jpg yoursecondmalignimagename.2.jpg blablablawhatever.2.jpg . . yourfirstnormalimagename.3.jpg yoursecondnormalimagename.3.jpg blablablawhatever.3.jpg

[JavaPalash]

Hello, I done with this but its shown an error again please find the attached ducuments. Steps:

1. I'll passed the Benign.1.jpg, Benign.2.jpg, Benign.3.jpg As a Training data 2 When I passed the Normal.1.jpg, Normal.2.jpg, Normal3.jpg its shown an error as you seen in the utilited4 image..!!!

If you are free can you see this by remotely by using TeamViewer?

Palash Hinglaspurkar

On Thu, Apr 25, 2019 at 12:33 PM Ardiansyah notifications@github.com wrote:

Then just set in TextureClass Benign, Malign, Normal

and for the file name, for example

yourfirstbenignimagename.1.jpg yoursecondtbenignimagename.1.jpg blablablawhatever.1.jpg . . yourfirstmalignimagename.2.jpg yoursecondmalignimagename.2.jpg blablablawhatever.2.jpg . . yourfirstnormalimagename.3.jpg yoursecondnormalimagename.3.jpg blablablawhatever.3.jpg

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[JavaPalash]

Normal.1.jpg, Normal.2.jpg and Normal.3.jpg I passed as a Testing data but its shown an error..!! Palash Hinglaspurkar

On Thu, Apr 25, 2019 at 12:57 PM Palash Hinglaspurkar < palashhinglaspurkar10@gmail.com> wrote:

Hello, I done with this but its shown an error again please find the attached ducuments. Steps:

1. I'll passed the Benign.1.jpg, Benign.2.jpg, Benign.3.jpg As a Training data 2 When I passed the Normal.1.jpg, Normal.2.jpg, Normal3.jpg its shown an error as you seen in the utilited4 image..!!!

If you are free can you see this by remotely by using TeamViewer?

Palash Hinglaspurkar

On Thu, Apr 25, 2019 at 12:33 PM Ardiansyah notifications@github.com wrote:

Then just set in TextureClass Benign, Malign, Normal

and for the file name, for example

yourfirstbenignimagename.1.jpg yoursecondtbenignimagename.1.jpg blablablawhatever.1.jpg . . yourfirstmalignimagename.2.jpg yoursecondmalignimagename.2.jpg blablablawhatever.2.jpg . . yourfirstnormalimagename.3.jpg yoursecondnormalimagename.3.jpg blablablawhatever.3.jpg

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[ard333]

No, you are wrong, end of file name is index of class in TextureClass

If you do this Benign.1.jpg, Benign.2.jpg, Benign.3.jpg, Benign.4.jpg of course, there is no class 4, because the class is just 3 Benign, Malign, Normal

You can set file name like this for first class Benign.1.1.jpg, Benign.2.1.jpg, Benign.3.1.jpg, Benign.4.1.jpg, whatever.1.jpg, whatever123.1.jpg Malign.1.jpg <- this will also be considered class 1 (Benign) because end with .1

Please check again my comment https://github.com/ard333/texture-classification-glcm-nb/issues/1#issuecomment-486186851 https://github.com/ard333/texture-classification-glcm-nb/issues/1#issuecomment-486545293

[JavaPalash]

Ok Now i'll Pass Training Data: Beningn1.1.jpg, Malign1.2.jpg, Normal1.3.jpg Its Taken the images Now

What shoul ill pass into the Testing Data...? Normal1.3.jpg, Normal2.3.jpg? Or something else?

Very Few changes are needed now Please help Palash Hinglaspurkar

On Thu, Apr 25, 2019 at 1:17 PM Ardiansyah notifications@github.com wrote:

No, you are wrong, end of file name is index of class in TextureClass

If you do this Benign.1.jpg, Benign.2.jpg, Benign.3.jpg, Benign.4.jpg of course, there is no class 4, because the class is just 3 Benign, Malign, Normal

You can set file name like this for first class Benign.1.1.jpg, Benign.2.1.jpg, Benign.3.1.jpg, Benign.4.1.jpg, whatever.1.jpg, whatever123.1.jpg Malign.1.jpg <- this will also be considered class 1 (Benign) because end with .1

Please check again my comment

1 (comment)

https://github.com/ard333/texture-classification-glcm-nb/issues/1#issuecomment-486186851

1 (comment)

https://github.com/ard333/texture-classification-glcm-nb/issues/1#issuecomment-486545293

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[ard333]

There is no special pattern for test data file name

[JavaPalash]

Ok Now i'll Pass The Beningn1.1.jpg Beningn2.1.jpg Beningn3.1.jpg Malign1.2.jpg Malign3.2.jpg As a training data

And Normal1.3.jpg Normal2.3.jpg Normal3.3.jpg

What next how get the features its shows nothing console and what is the next step? to complete the project

Please find the attachment

Palash Hinglaspurkar

On Thu, Apr 25, 2019 at 1:53 PM Ardiansyah notifications@github.com wrote:

There is no special pattern for test data file name

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[JavaPalash]

Hello Sir Please help

Palash Hinglaspurkar

On Thu, Apr 25, 2019 at 2:08 PM Palash Hinglaspurkar < palashhinglaspurkar10@gmail.com> wrote:

Ok Now i'll Pass The Beningn1.1.jpg Beningn2.1.jpg Beningn3.1.jpg Malign1.2.jpg Malign3.2.jpg As a training data

And Normal1.3.jpg Normal2.3.jpg Normal3.3.jpg

What next how get the features its shows nothing console and what is the next step? to complete the project

Please find the attachment

Palash Hinglaspurkar

On Thu, Apr 25, 2019 at 1:53 PM Ardiansyah notifications@github.com wrote:

There is no special pattern for test data file name

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[ard333]

Sorry I'm quite busy, you can upload your dataset, I will check it later.

[JavaPalash]

Ok I send you my dataset and please let me know.. Please find the below attached document.

Palash Hinglaspurkar

On Thu, Apr 25, 2019 at 5:12 PM Ardiansyah notifications@github.com wrote:

Sorry I'm quite busy, you can upload your dataset, I will check it later.

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[JavaPalash]

Any Update Sir..? Palash Hinglaspurkar

On Thu, Apr 25, 2019 at 5:21 PM Palash Hinglaspurkar < palashhinglaspurkar10@gmail.com> wrote:

Ok I send you my dataset and please let me know.. Please find the below attached document.

Palash Hinglaspurkar

On Thu, Apr 25, 2019 at 5:12 PM Ardiansyah notifications@github.com wrote:

Sorry I'm quite busy, you can upload your dataset, I will check it later.

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[ard333]

I can't find any attachment, I create simple dataset for test my code again, because the link for texture database is dead. You can test using this dataset.

[JavaPalash]

I test with the dataset you given me!!!! I'll send you the output screen and tell me what it means and what next ...!!! Is it compare the features of trained and test and give the class result related to images.?

i.e. As in output you can see that "whatever1.png => class result=> Beningn its shows" and "whatever2.png => class result => malign its shows"

Palash Hinglaspurkar

On Sat, Apr 27, 2019 at 6:45 AM Ardiansyah notifications@github.com wrote:

I can't find any attachment, I create simple dataset for test my code again, because the link for texture database is dead. You can test using this dataset https://drive.google.com/file/d/1s5EhPsFfNYchULRyMhVC716CLDvyzX2Y/view?usp=sharing .

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[ard333]

Yes, it is very clearly written in the readme. Texture Classification using Naive Bayes and GLCM for feature extraction

[JavaPalash]

What next program is in waiting means still runs is it completed?

its not displaying features but its internally compare the features of trained and test right? and if features is match its shows the class result that perticular image file is belongs to perticular class ?

On Sat, 27 Apr, 2019, 11:02 AM Ardiansyah, notifications@github.com wrote:

Yes, it is very clearly written in the readme. Texture Classification using Naive Bayes and GLCM for feature extraction

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[ard333]

What next program is in waiting means still runs is it completed?

Yes is it completed.

its not displaying features

You can just write some code for your particular needs.

but its internally compare the features of trained and test right?

Yes, it's classified using Naive Bayes

and if features is match its shows the class result that perticular image file is belongs to perticular class ?

It's classified using Naive Bayes.

[JavaPalash]

Thank you very much for your help...

One last question is...

I have breast cancer effected and non-effected images.. That I am passed in trained and test as a data. So from this code is it possible to come in conclusion that the particular image has a breast cancer or not?

Palash Hinglaspurkar

On Sat, Apr 27, 2019 at 11:46 AM Ardiansyah notifications@github.com wrote:

What next program is in waiting means still runs is it completed?

Yes is it completed.

its not displaying features

You can just write some code for your particular needs.

but its internally compare the features of trained and test right?

Yes, it's classified using Naive Bayes

and if features is match its shows the class result that perticular image file is belongs to perticular class ?

It's classified using Naive Bayes.

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[ard333]

For the possibility, I can't immediately give a conclusion, it depends on your data and your case, whether it is suitable or not if using glcm and naive bayes.

[JavaPalash]

ok thanks

On Sat, 27 Apr, 2019, 11:59 AM Ardiansyah, notifications@github.com wrote:

For the possibility, I can't immediately give a conclusion, it depends on your data and your case, whether it is suitable or not if using glcm and naive bayes.

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