SOO-CHANG PEIC. L. Lai2018-09-102018-09-102001-0901651684http://scholars.lib.ntu.edu.tw/handle/123456789/294295https://www.scopus.com/inward/record.uri?eid=2-s2.0-0035452085&doi=10.1016%2fS0165-1684%2801%2900027-5&partnerID=40&md5=0aadb113a7524afd475013478b9f9427This paper presents a morphological approach of target detection on the perspective-distorted plane for image analysis applications. By modifying morphological operations with a dynamic-varying structuring element, distorted targets with variant contrast values, shape deformations, and different location/orientation can be detected successfully on the perspective plane even though they are in cluttered background. Two experimental simulation results are presented to show that our algorithm works successfully in detecting the targets from their blurred perspective plane image. © 2001 Elsevier Science B.V. All rights reserved.application/pdfapplication/pdfMathematical morphology; Perspective transformation; Target detection; Variable structuring elementAlgorithms; Computer simulation; Image analysis; Mathematical transformations; Radar clutter; Perspective-distorted planes; Radar target recognitionjournal article10.1016/S0165-1684(01)00027-52-s2.0-0035452085WOS:000170482200014