Adaptive mammographic imageenhancement using first derivative and local statistics
Jong Kook Kim
Jeong Mi Park
Koun Sik Song
Hyun Wook Park
Dept. of Inf. & Commun. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea;
This paper appears in: Medical Imaging, IEEE Transactions on Publication Date: Oct. 1997
Volume: 16
,
Issue: 5
On page(s):
495
- 502
Location: Davis, CA, USA
ISSN: 0278-0062
Digital Object Identifier: 10.1109/42.640739
Current Version Published: 2002-08-06
Abstract
This paper proposes an adaptive imageenhancement method for mammographic images, which is based on the first derivative and the local statistics. The adaptive enhancement method consists of three processing steps. The first step is to remove the film artifacts which may be misread as microcalcifications. The second step is to compute the gradient images by using the first derivative operators. The third step is to enhance the important features of the mammographic image by adding the adaptively weighted gradient images. Local statistics of the image are utilized for adaptive realization of the enhancement, so that image details can be enhanced and image noises can be suppressed. The objective performances of the proposed method were compared with those by the conventional imageenhancement methods for a simulated image and the seven mammographic images containing real microcalcifications. The performance of the proposed method was also evaluated by means of the receiver operating characteristics (ROC) analysis for 78 real mammographic images with and without microcalcifications
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
You are not
logged in.
Guests
may access Abstract records free of charge.
Cart
