Due to recent updates, all users are required to create an Altair One account to login to the RapidMiner community. Click the Register button to create your account using the same email that you have previously used to login to the RapidMiner community. This will ensure that any previously created content will be synced to your Altair One account. Once you login, you will be asked to provide a username that identifies you to other Community users. Email us at Community with questions.
"ImageMiner1.4 feature extraction error message"
Hi,
I am using the ImageMiner 1.4.1 with RapidMiner 5.2.0 and trying to use a simple image extraction operatior window_statistics tha takes input
grayscale image plus: expects: ImagePlusGSIOObject. I am able to load up a greyscale image but get the below error with this and other feature extraction operation.
"Process Failed. window dimension must be smaller then window in feature extraction" ? Does anyone know what it means.. I tried tweakng the window size parameter and even the image size but no help. appreciate any help.
Regards,
Imran
I am using the ImageMiner 1.4.1 with RapidMiner 5.2.0 and trying to use a simple image extraction operatior window_statistics tha takes input
grayscale image plus: expects: ImagePlusGSIOObject. I am able to load up a greyscale image but get the below error with this and other feature extraction operation.
"Process Failed. window dimension must be smaller then window in feature extraction" ? Does anyone know what it means.. I tried tweakng the window size parameter and even the image size but no help. appreciate any help.
Regards,
Imran
Tagged:
0
Answers
this message means that window dimension defined in Feature Extraction Operator must be greater than window defines in window statistics operator. Otherwise these features will be calculated out of defined bounds and that is forbidden.
Best,
Václav
Though the image miner extension appears very powerful, I have found it VERY DIFFICULT to work with. You will discover, if you follow my instructions above, that your process still will not work. The reason is that the local feature extraction operator outputs an ImagePlusBaseIOObject to the window_statistics operator which, unfortunately, expects a different object, namely an ImagePlusGSIOObject. This sort of thing happens ALOT with imageminer. There is only one operator I have found that will accept an ImagePlusBaseIOObject and output an ImagePlusGSIOObject and that is the get_mask operator found in the visualization group. However, when that operator is inserted into the process, the process still will not work. In fact, you are met with the same error that you started with!! (incorrect window size)
StaryVena did post some examples on MyExperiment. However, they are of no help. They apparently use an old version of imageminer and do not work.
If you figure it out, let me know!
thank you for your feedback. It is very valuable for us (btw: yes, StaryVena is one of the developers The problem is that you are trying to extract local level features from window of dimension mxm, from image of nxn, where m > n. You can scale the image with resize operator. Is it possible for you to provide us an example process and input data where the problem will be presented?
Please also consider the trainable segmentation (http://www.burgsys.com/image-mining), which is another approach based on local level features and can suit better for your purpose.
BTW: Rapid-I is currently preparing a book, where we contributed with two chapters about basic and advanced IMMI use-cases. We hope it can be ready on market soon.
Best,
radone