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Biomedical Digital Image Processing (BDIP) Program

Bookscanner 1The information content of images, both monochrome and color, is a key to understanding the disease conditions in many medical disciplines. A prerequisite for understanding this content, or its extraction or analysis, is a set of image processing activities, including: image capture, segmentation, compression, image manipulation, image file format conversion and related areas. This requires the digital capture of images at full 24 bits/pixel color and the subsequent processing to pare the portions of the image down to 8 bits/pixel and 1 bit/pixel in those areas where there is gray material and two-tone text respectively. The fundamental goal of this program is to further the existing inhouse capability to acquire, compress, retrieve, manipulate, segment, analyze, display and transmit digitized biomedical images.

Bookscanner 2Recent activities include: (a) The development of an Internet file server to provide access to digitized xrays for collaborators at Stanford, Yale, Monash Universities and the IBM Almaden Research Center; (b) An analysis of selected image compression techniques (Hadamard, DCT) in removing the redundancy in a set of digitized dermatologic images.

Current work includes research in automated extraction and classification of features in digital xray images. This work is motivated by the possibility of using features (e.g., texture, shapes, edges) as descriptive elements in images for image retrieval. The principal used is mathematical morphology. The approach is to determine if texture or shape can be used to discriminate between, say vertebrae, and other areas of the image. If so, then to morphological operations (e.g., erosion, dilation, etc.) and kernels are devised as structuring elements to identify the vertebrae.
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URL: http://archive.nlm.nih.gov/proj/bdip.php
Last updated January 16, 2002

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