In the area of image retrieval, post-retrieval processing is often used to refine the retrieval results to better satisfy users’ requirements. Previous methods mainly focus on p...
Background: Microscopists are familiar with many blemishes that fluorescence images can have due to dust and debris, glass flaws, uneven distribution of fluids or surface coatings...
Abstract. Facial feature extraction is a fundamental problem in image processing. Correct extraction of features is essential for the success of many applications. Typical feature ...
Copyright 2005 IEEE. Published in the 2006 International Conference on Image Processing (ICIP-2006), October 8-11, 2006, Atlanta, Georgia. Personal use of this material is permitt...
Sangho Yoon, Michael Harville, H. Harlyn Baker, Ni...
Background: It is an important pre-processing step to accurately estimate missing values in microarray data, because complete datasets are required in numerous expression profile ...