@article{qi_snyder_marchette_2000, title={Efficient approach to segment man-made targets from unmanned aerial vehicle imagery}, volume={39}, number={5}, journal={Optical Engineering (Redondo Beach, Calif.)}, author={Qi, H. R. and Snyder, W. E. and Marchette, D.}, year={2000}, pages={1267–1274} }
 @article{snyder_qi_elliott_head_wang_2000, title={Increasing the effective resolution of thermal infrared images - An algorithm based on mean-field annealing that also removes noise and preserves image}, volume={19}, ISSN={["1937-4186"]}, DOI={10.1109/51.844382}, abstractNote={Thermal infrared (TIR) imaging is recognized as the most efficient technique for the study of skin temperature distribution. In specific diseases, characteristic changes can be measured from target anatomical sites. In this way, objective noninvasive investigations can be of diagnostic value. TIR imaging of the breast for breast cancer risk assessment is an example. Although TIR imaging possesses the advantages of being noninvasive, risk free, and considerably less expensive, it suffers the disadvantage of a lack of resolution due to blur compounded by rather high levels of noise. A maximum a posteriori probability (MAP) image restoration philosophy is proposed to solve this problem of resolution. The objective is three-fold: to increase the resolution of the measured image by using a type of 2:1 zooming; to remove the noise; and simultaneously to preserve the detail of features, including, in particular, the sharpness of edges.}, number={3}, journal={IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE}, author={Snyder, WE and Qi, HR and Elliott, RL and Head, JF and Wang, CX}, year={2000}, pages={63–70} }
 @article{qi_snyder_1999, title={Content-based image retrieval in picture archiving and communications systems}, volume={12}, ISSN={["1618-727X"]}, DOI={10.1007/BF03168763}, abstractNote={We propose the concept of content-based image retrieval (CBIR) and demonstrate its potential use in picture archival and communication system (PACS). We address the importance of image retrieval in PACS and highlight the drawbacks existing in traditional textual-based retrieval. We use a digital mammogram database as our testing data to illustrate the idea of CBIR, where retrieval is carried out based on object shape, size, and brightness histogram. With a user-supplied query image, the system can find images with similar characteristics from the archive, and return them along with the corresponding ancillary data, which may provide a valuable reference for radiologists in a new case study. Furthermore, CBIR can perform like a consultant in emergencies when radiologists are not available. We also show that content-based retrieval is a more natural approach to man-machine communication.}, number={2}, journal={JOURNAL OF DIGITAL IMAGING}, author={Qi, HR and Snyder, WE}, year={1999}, month={May}, pages={81–83} }