Edward H. S. Lo

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Image segmentation can be viewed as the process of classifying regions in a picture into groups with common properties (e.g., texture). A difficulty arising is that a common texture can be classified differently when viewed at different scales and rotated viewpoints. The paper presents a feature vector based on the DT-CWT (dual-tree complex wavelet(More)
Widespread use of digital imagery has resulted in a need to manage large collections of images. Systems providing query by example (QBE) capability offer improved access to contents of image libraries by retrieving matches to a query image. Texture is an important feature to consider in the matching process. However, standard approaches often employ a(More)
In this paper we propose a new texture segmentation technique that produces segmentation results which more closely match the manual segmentation that would be performed by a human operator. To perform this type of segmentation, we propose a new texture feature based on the double dyadic dual-tree complex wavelet transform (D<sup>3</sup>T-CWT) which(More)
Advances in military information and systems technologies have greatly improved warfighters' situational awareness on the battlefield and ability to make critical decisions in a timely manner. System integration is an important enabler for improving planning and execution of operations via availability of timely, relevant information and synchronization of(More)
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