Further tools for analyzing objects in N-dimensional images

A collection of tools to supplement bwpropfilt, bwareaopen, and the like.

This FEX submission contains some tools I find to be handy supplements to bwpropfilt, bwareaopen, and other routines from the Image Processing Toolbox for analyzing objects in images. They include:

1. BWLPROPFILTN, BWLAREAFILTN, BWLAREAOPENN: Extensions of bwpropfilt, bwareafilt and bwareaopen to accomodate N-dimensional images.

2. BWLMASKPROPFILTN: A function to extract objects based on properties of their intersections with a user-supplied binary mask. Handles N-dimensional images.

3. BWLALPHACLOSE: similar to bwconvhull, this will use an alpha shape to seal or reduce concavities in objects (2D and 3D images only).

4. BWLCONVHULL3: A generalization of bwconvhull to 3D images. Works on 2D and 3D label maps as well.

5. BWLBOXHULL: Replaces objects with the smallest n-dimensional box containing them in binary or label map images of any dimension.

6 BWLDILATE, BWLERODE, BWLCLOSE, BWLOPEN: Extensions of imdilate,imerode,imclose,imopen, to accomodate N-dimensional label maps.

7 BWLPOLYSHAPE: Fits a minimal polyshape to the objects in a 2D image (binary or label). Also available as standalone.

All of these routines support both binary images and label maps.

See the help() documentation for usage instructions and the Examples tab for demos.