Updated version to release 1.1

Author: cheesema

CMakeLists.txt

@@ -40,8 +40,8 @@ list(APPEND CMAKE_MODULE_PATH
 # Generate configuration file
 ###############################################################################
 set (APR_VERSION_MAJOR 1)
-set (APR_VERSION_MINOR 0)
-set (APR_VERSION_PATCH 2)
+set (APR_VERSION_MINOR 1)
+set (APR_VERSION_PATCH 0)
 set (APR_VERSION_STRING ${APR_VERSION_MAJOR}.${APR_VERSION_MINOR}.${APR_VERSION_PATCH})
 execute_process(COMMAND git rev-parse HEAD
         WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}

README.md

@@ -131,13 +131,19 @@ Example usage of the available functionality:
 
 Note that you may have to manually change the `sys.path.insert()` statements before `import pyApr` in these scripts to insert your build folder.
 
+## Java wrappers
+
+Basic Java wrappers can be found at [LibAPR-java-wrapper](https://github.com/krzysg/LibAPR-java-wrapper)
+
 ## Coming soon
 
 * more examples for APR-based filtering and segmentation
 * deployment of the Java wrappers to Maven Central so they can be used in your project directly
 * support for loading the APR in [Fiji](https://fiji.sc), including [scenery-based](https://github.com/scenerygraphics/scenery) 3D rendering
 * improved java wrapper support
 * CUDA GPU-accelerated APR generation and processing
+* Block based decomposition for extremely large images.
+* Time series support.
 
 ## Contact us
 
@@ -149,4 +155,4 @@ If anything is not working as you think it should, or would like it to, please g
 
 If you use this library in an academic context, please cite the following paper:
 
-* Cheeseman, Günther, Susik, Gonciarz, Sbalzarini: _Forget Pixels: Adaptive Particle Representation of Fluorescence Microscopy Images_ (bioRxiv 2018) https://www.biorxiv.org/content/early/2018/02/09/263061
+* Cheeseman, Günther, Susik, Gonciarz, Sbalzarini: _Forget Pixels: Adaptive Particle Representation of Fluorescence Microscopy Images_ (bioRxiv 2018) https://www.biorxiv.org/content/early/2018/06/28/263061