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A directional morphological operator based on road segmentation approach is proposed by Valero et al. [23].
Elman neural network also exhibits good performance metrics than SVD in the morphological operator based feature extraction method.
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We start by introducing morphological operators based on structuring elements which are balls in the sense of Euclidean distance, in order to obtain the desired smoothing effect.
Table 7 Performance index for morphological based feature extraction Classifiers Morphological operators based feature extraction Perfect classification Missed classification False alarm Performance index Code converter 62.6 18.25 19.13 33.26 With SVD optimization 91.22 7.31 1.42 89.48 With EM optimization 82.68 12.93 4.38 80.1 With MEM optimization 85.32 10.95 3.72 83.35.
Morphological operations are based on the relationships between two sets: an input image, I, and a processing operator, the SE, which is usually much smaller than the input image.
Table 1 compares the proposed reconfigurable morphological operator with equivalent standard morphology operations and other current Virtex-5 morphological operator designs by Holzer et al. [25] and Bartovsky et al. [32] for 1,024 × 768 (XGA) frame resolution.
In this paper, starting from a brief historical overview of rank order filters and erosions/dilations in digital image processing, rank order based morphological operators are surveyed.
The computational cost of morphological-based road extraction is lesser than wavelet-based approach and support vector machine-based approach; thus, morphological operator and trivial operator are mainly used for road extraction.
The previously described morphological operation register is a global register set and used within all pixel sample processing and morphological operator structures within independent SE morphology functions.
The flexible morphology operator units are combined to form reconfigurable morphological operation-based SEs as previously described.
The proposed work of this paper is road centerline extraction using connected component-based extraction along with morphological operator.
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