Automatic target segmentation by locally adaptive image thresholding

A locally adaptive thresholding algorithm, concerning the extraction of targets from a given field of background, is proposed. Conventional histogram-based or global-type methods are deficient in detecting small targets of possibly low contrast as well. The present research is notable for solving the mentioned problems by introducing (1) shape connectivity measure based on co-occurrence statistics for threshold evaluation; and (2) no-target identification procedure for modeling a local-processing paradigm. In this manner, thresholds are determined adaptively even in the presence of space-varying noise or clutter. Experiments show that the results are reliable and even outperform those that manual operations can achieve for global thresholding.

[1]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[2]  John Eric Auborn,et al.  Target detection using co-occurrence matrix segmentation and its hardware implementation , 1991, Defense, Security, and Sensing.

[3]  Stanley M. Dunn,et al.  Local Estimation of the Uniform Error Threshold , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Wen-Nung Lie,et al.  An efficient threshold-evaluation algorithm for image segmentation based on spatial graylevel co-occurrences , 1993, Signal Process..

[5]  Wen-Hsiang Tsai,et al.  Moment-preserving thresholding: a new approach , 1995 .

[6]  Azriel Rosenfeld,et al.  Threshold Evaluation Techniques , 1978, IEEE Transactions on Systems, Man, and Cybernetics.

[7]  Wen-Hsiang Tsai,et al.  Moment-preserving thresolding: A new approach , 1985, Comput. Vis. Graph. Image Process..

[8]  J. R. Parker,et al.  Gray Level Thresholding in Badly Illuminated Images , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Azriel Rosenfeld,et al.  Detection and delineation of compact objects using intensity pyramids , 1988, Pattern Recognit..

[10]  Robin N. Strickland,et al.  Image Sequence Processing For Target Estimation In Forward-Looking Infrared Imagery , 1988 .

[11]  Daniel T. Long,et al.  Parallel algorithm for model-directed real-time image segmentation , 1990, Defense, Security, and Sensing.

[12]  P.K Sahoo,et al.  A survey of thresholding techniques , 1988, Comput. Vis. Graph. Image Process..

[13]  Azriel Rosenfeld,et al.  Some experiments on variable thresholding , 1979, Pattern Recognit..

[14]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[15]  Sahibsingh A. Dudani,et al.  Target Acquisition And Extraction From Cluttered Backgrounds , 1982, Optics & Photonics.

[16]  B. Chanda,et al.  A note on the use of graylevel co-occurence matrix in threshold selection , 1988 .

[17]  Jack Sklansky,et al.  The Detection and Segmentation of Blobs in Infrared Images , 1981, IEEE Transactions on Systems, Man, and Cybernetics.

[18]  C. Chow,et al.  Automatic boundary detection of the left ventricle from cineangiograms. , 1972, Computers and biomedical research, an international journal.

[19]  Hsi-Jian Lee,et al.  Multi-frame ship detection and tracking in an infrared image sequence , 1990, Pattern Recognit..