Update of the Three Dimensional Version of RHSeg and HSeg

Image data is subdivided into overlapping sections. Each image subsection has an extra pixels forming an overlapping seam in the x, y, and z axes. The region labeling these overlapping seams are examined and a histogram is created of the correspondence between region labels across image subsections. A region from one subsection is then merged together with a region from another subsection when specific criterion is met. This innovations use of slightly overlapping processing windows eliminates processing window artifacts. This innovative approach can be used by any image segmentation or clustering approach that first operates on subsections of data and later combines the results from the subsections together to produce a result for the combined image. Image segmentation is the partitioning of an image into related sections or regions. For remotely sensed images of the Earth, an example is a map that divides the image into areas labeled by distinct Earth surface covers such as water, snow, and types of natural vegetation. A key problem encountered with RHSeg is that the image segmentation results often exhibit artifacts caused by the recursive subdivision of the image.