{"id":1552,"date":"2015-08-13T11:02:39","date_gmt":"2015-08-13T11:02:39","guid":{"rendered":"http:\/\/sites.uac.pt\/amendes\/?p=1552"},"modified":"2015-08-13T11:02:39","modified_gmt":"2015-08-13T11:02:39","slug":"knime-image-processing","status":"publish","type":"post","link":"https:\/\/sites.uac.pt\/amendes\/visualizacao\/knime-image-processing\/","title":{"rendered":"KNIME Image Processing (trusted extension)"},"content":{"rendered":"
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clicar na imagem para seguir o link<\/p><\/div>\n

Apenas um exemplo das fant\u00e1sticas possibilidades do KNIME<\/span><\/p>\n

KNIME Image Processing (trusted extension)<\/h1>\n

Fri, 12\/03\/2010 – 13:09 \u2014 knime_admin<\/span><\/p>\n


\nOverview<\/strong><\/a><\/h2>\n

The KNIME Image Processing Plugin allows you to read in more than 120 different kinds of images (thanks to the Bio-Formats API<\/a>) and to apply well known methods on images, like preprocessing. segmentation, feature extraction, tracking and classification in KNIME. In general these nodes operate on multi-dimensional image data (e.g. videos, 3D images, multi-channel images or even a combination of them), which is made possible by the internally used ImgLib2-API<\/a>.<\/p>\n

Several nodes are available to calculate image features (e.g. zernike-, texture- or histogram features) for segmented images (e.g. a single cell). These feature vectors can then be used to apply machine learning methods in order to train and apply a classifier.<\/p>\n

Currently the Image Processing Plugin for KNIME provides ca. 100 nodes for (pre)-processing, filtering, segmentation, feature extraction, various views (2D, 3D), etc. and integrations for various other image processing tools are available (see used and integrated libraries<\/a>)<\/p>\n

\"\"<\/a>Future directions include a full, bidirectional integration of ImageJ2<\/a>. Such an integration allow the users to use directly use\/update ImageJ2<\/a> Plugins inside KNIME as well as recording and running KNIME Workflows in ImageJ2<\/a>. Please see ImageJ2 Integration (BETA)<\/a> for more information.<\/p>\n

For the first steps please consider the KNIME Image Processing User Manual<\/a> (incomplete draft!).<\/p>\n

Important Links<\/strong><\/a><\/h2>\n