This article addresses the connected-component labeling problem which consists in
assigning a unique label to all pixels of each connected component (ie, each object) in a …

Summary 16S rRNA-targeted oligonucleotide probes for eubacteria (EUB338), ammonium-
oxidizing bacteria (Nsm156) and nitrite-oxidizing bacteria (Nb1000) were used for the rapid …

The watershed transform is the method of choice for image segmentation in the field of
mathematical morphology. We present a critical review of several definitions of the …

Design for Embedded Image Processing on FPGAs Bridge the gap between software and
hardware with this foundational design reference Field-programmable gate arrays (FPGAs) …

Labeling of connected components in a binary image is one of the most fundamental
operations in pattern recognition: labeling is required whenever a computer needs to …

This paper presents a fast algorithm for labeling connected components in binary images
based on sequential local operations. A one-dimensional table, which memorizes label …

We present two optimization strategies to improve connected-component labeling
algorithms. Taking together, they form an efficient two-pass labeling algorithm that is fast and …

We present an efficient run-based two-scan algorithm for labeling connected components in
a binary image. Unlike conventional label-equivalence-based algorithms, which resolve …

The mesh with reconfigurable bus is presented as a model of computation. The
reconfigurable mesh captures salient features from a variety of sources, including the …

Region growing is a very useful technique for image segmentation. Its efficiency mainly
depends on its aggregation criterion. In the present paper, a new algorithm is proposed with …