Title :
Identification of lanes and bands in DNA autoradiogram images
Author :
Agarwal, A. ; Manohar, C. Srinivas ; Pujari, Arun K.
Author_Institution :
Artificial Intelligence Lab., Hyderabad Univ., India
Abstract :
The present work is concerned with the application of image processing to an off-line DNA autoradiogram images. The varying morphology of lanes, nonuniformity in band shapes, intensities and spacing, the spatially varying background of the image and gel-preparative and digitization variations in the autoradiogram images make conventional techniques of image processing unsuitable. The proposed technique is adaptive taking varying background and unpredictable nature of the bands into account. The authors have successfully accomplished lane detection, lane straightening, adaptive enhancement of lane images and band detection
Keywords :
DNA; adaptive signal processing; biological techniques; image segmentation; molecular biophysics; radioisotope imaging; DNA autoradiogram images; bands; digitization variations; filtering; gel-preparative variations; histogram; lane straightening; lanes; spatially varying background; varying background; Application software; Artificial intelligence; Computed tomography; DNA computing; Equations; Filtering; Image processing; Image segmentation; Laboratories; Morphology;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995 and 14th Conference of the Biomedical Engineering Society of India. An International Meeting, Proceedings of the First Regional Conference., IEEE
Conference_Location :
New Delhi
Print_ISBN :
0-7803-2711-X
DOI :
10.1109/RCEMBS.1995.511695
