T. Hirata
Papers
1
Total Citations
11
H-Index
1
About
T. Hirata is a researcher whose work lies at the intersection of image processing, computer vision, and algorithmic design, with a particular focus on the Euclidean distance transform—a foundational operation for tasks ranging from morphological filtering to robotics. His most cited paper, "A systolic algorithm for Euclidean distance transform" (2006), introduces an innovative systolic array architecture that efficiently computes the Euclidean distance map of an N x N binary image. This contribution is notable for its emphasis on parallel processing, enabling faster and more hardware-friendly implementations of a core image analysis routine. With over a decade of influence, this work has garnered 11 citations, reflecting its utility in advancing real-time and embedded vision systems. Hirata’s research bridges theoretical algorithm design and practical hardware acceleration, making his contributions valuable for students and engineers seeking efficient solutions in pattern recognition and automated navigation. His focus on systolic algorithms highlights a commitment to optimizing computational geometry for high-performance imaging applications.
Research Focus
Key Achievements
Top Papers
- 1A systolic algorithm for Euclidean distance transform11 citations · 2006