We released new version of ImageMontage free visualization tool (ImageMontage v.2).
ImagePlot v.2 Documentation
ImagePlot v.2 download (please use this version, rather than the one on ImageJ website).
ImageMontage v.2 - Key Features:
- Create high resolution montages of large image collections. For example, you can visualize a collection of 40,000 images (assume each image is 100 x 100 pixels) in a single 20,000 x 20,000 pixel montage.
- The images can have different sizes and/or proportions - they will be scaled to the same height in the montage.
- The order of images in a montage can be controlled by a user. (Create a text file with a list of file names in a sigle column, and use it as the input in "Image Source" option.) In the examples above, one montage organizes a set Instagram photos by upload date/time; another organizes the same images by average hue. (The plugins which measure image characteristics are included with our ImagePlot plugin.)
- You can include all images in a single folder; all images within subfolders; or images located in different areas of your drive ("Image Source" option.)
- The new version allows you to create 1-level, 2-level, or 3-level montages. For example, you can organize your photos by year, month, and event. Or, you can montage images of van Gogh painting by city, year, and season. (See examples below).
How to run:
ImageMontage is a plugin for ImageJ, a popular free open source image analysis software (runs on Mac, PC, Lunix).
1) Download ImageJ software;
2) Download ImageMontage v2 plugin from GitHub;
3) In ImageJ: use File > Open to open the plugin file. Then click on: Macros > Run. ImageMontage will start.
Check our ImagePlot and ImageSlice visualization plugins for ImageJ.
Examples of 1-level and 2-level montages:
A montage of selected van Gogh paintings organized by creation year (1-level montage).
A montage of selected van Gogh paintings organized by creation year and season (2-level montage).
Examples of montages of larger image sets:
Montage of 4512 Instagram selfie photos from selfiecity.net project. Original image is 24000 pixels wide. (Montage shows our larger image set before we did the final manual check - so few images are not true single selfies. Images from Tokyo which were not used in the final presentation are also included.)
Full image (24000 pixels wide) scaled to 640 pixels.
See on Google+
See / download 8000 pixel wide version from Flickr.
Montage visualization of 33,292 photos shared on Instagram in Tel Aviv (April 20-26, 2012), sorted by hue (top to bottom, right to left). (These and three other visualizations below are from our Phototrails project - analysis and visualization of 2.3 million Instagram photos from 13 global cities.)
Montage visualization of 33,292 photos shared on Instagram in Tel Aviv during the same period, sorted by upload date (top to bottom, left to right).
Montage visualization of 55,498 Instagram photos from Tokyo uploaded during four consecutive days, sorted by upload date and time (top to bottom, left to right).
Montage visualization of 57,493 Instagram photos from New York uploaded during four consecutive days, sorted by upload date and time (top to bottom, left to right).