This inventor holds 1 USPTO granted patent. Top assignee: National University of Singapore. Active years: 2001.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2001
Title: Seow Yong Lai: Innovator in Image Retrieval Technology.
Introduction
Seow Yong Lai is a notable inventor based in Singapore, recognized for his contributions to image retrieval technology. He has developed a unique method that enhances the way texture patterns are matched in images, making it a significant advancement in the field.
Latest Patents
Seow Yong Lai holds a patent for an "Invariant texture matching method for image retrieval." This innovative method and apparatus are designed to match texture patterns in a manner that remains invariant to variations in intensities, scales, and orientations of the texture patterns. The technology includes a texture feature extractor, a feature transformer, and an image ranker. The texture feature extractor identifies regions in multiple stored images that contain homogeneous texture patterns, extracting N-component texture feature vectors from these regions. The feature transformer then maps these vectors into a D-dimensional texture space that is invariant to texture intensity, scale, and orientation. Finally, the image ranker ranks the images based on the similarity between the texture patterns they contain and the query texture, measured in the D-dimensional invariant texture space.
Career Highlights
Seow Yong Lai is affiliated with the National University of Singapore, where he continues to contribute to research and innovation in image processing and retrieval technologies. His work has implications for various applications, including content-based image retrieval systems.
Collaborations
Seow Yong Lai collaborates with his coworker, Wee Kheng Leow, who is also involved in research and development in related fields.
Conclusion
Seow Yong Lai's innovative approach to texture matching in image retrieval represents a significant advancement in technology. His contributions are paving the way for more efficient and effective image processing solutions.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
