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It has been found to perform in a better manner compared to earlier studies in a similar field. The objective of the proposed method is to produce sharp, less noisy and robust edge lines. First, pre-processing of the image is done for edge-preserving smoothing of an infrared image using a smoothing parameter. Second, image segmentation is done based on a two-level threshold value computed by a modified Von Neumann-based kernel. Then, Fourier transform of the segmented image is done to remove spike noise followed by the inverse Fourier transform to produce the final edge lines. The simulation experiment results show that the proposed method is found to yield robust and sharp edge lines compared to other state-of-the-art methods both numerically and visually. Moreover, the whole process takes less computation time.<\/jats:p>","DOI":"10.1142\/s0219691323500273","type":"journal-article","created":{"date-parts":[[2023,4,30]],"date-time":"2023-04-30T06:47:15Z","timestamp":1682837235000},"source":"Crossref","is-referenced-by-count":1,"title":["Modified von Neumann neighborhood and taxicab geometry-based edge detection technique for infrared images"],"prefix":"10.1142","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1974-5710","authenticated-orcid":false,"given":"Kuldip","family":"Acharya","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, National Institute of Technology, Agartala, Barjala, Jirania, Tripura (W) 799046, India"}]},{"given":"Dibyendu","family":"Ghoshal","sequence":"additional","affiliation":[{"name":"Department of Electronics and Communication Engineering, National Institute of Technology, Agartala, Barjala, Jirania, Tripura (W) 799046, India"}]}],"member":"219","published-online":{"date-parts":[[2023,5,30]]},"reference":[{"issue":"4","key":"S0219691323500273BIB002","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1061\/(ASCE)0887-3801(2003)17:4(255)","volume":"17","author":"Abdel-Qader I.","year":"2003","journal-title":"J. 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