“…Figure 9 shows a comparison between Li’s method [4] and the proposed method on BDGP images of touching Drosophila embryos. We can observe that Li’s method fails in all three cases, while the proposed method works well.…”
Section: Resultsmentioning
confidence: 99%
“…Fig. 9A comparison between Li’s method [4] (the first row) and the proposed method (the second row)Fig. 10More positive examples of the proposed algorithm on images of touching Drosophila embryos
…”
Section: Resultsmentioning
confidence: 99%
“…The dataset contains 2000 images of BDGP Drosophila embryos. Table 1 shows the quantitative results, including the comparison of two existing methods on contour extraction of Drosophila embryos: i) Li and Kambhamettu’s method [3] that consists an initialization based on a quadratic curve model, and a refinement based on an active contour model; ii) Li’s method [4] that can detect and restore deficiencies and faults of primal sketch tokens occurring when a targeting object is surrounded by a complex background. …”
Section: Resultsmentioning
confidence: 99%
“…In general, Drosophila embryonic images contain substantial amount of variations [3, 4]: i) imaging conditions, such as contrasts, scale, orientation, and neighboring embryos, ii) gene expression patterns, and iii) developmental stages. Most existing methods were developed upon low-level image features, such as edge pixels or pixels with a high deviation of grayvalues in a local window [3–10].…”
Section: Introductionmentioning
confidence: 99%
“…Bessinger et al [10] proposed criteria to select the optimal connected component of edge pixels in the scale space of an input image. Li [4] proposed algorithms to detect and restore deficiencies and faults of primal sketch tokens that occur when a targeting object is surrounded by a complex background.…”
BackgroundHigh resolution images of Drosophila embryos in their developmental stages contain rich spatial and temporal information of gene expression. Automatic extraction of the contour of an embryo of interest in an embryonic image is a critical step of a computational system used to discover gene-gene interaction on Drosophila.ResultsWe propose a geometric method for contour extraction of Drosophila embryos. The key of the proposed geometric method is k-dominant point extraction that is a generalization of 3-dominant point extraction proposed in our previous work. Based on k-dominant point extraction, we can approximate a connected component of edge pixels by a polygon that can be either convex or concave. The test on BDGP data shows that the proposed method outputforms two existing methods designed for contour extraction of Drosophila embryos.ConclusionsThe main advantage of the proposed geometric method in the context of contour extraction of Drosophila embryos is its ability of segmenting embryos touching each other. The proposed geometric method can also be applied to applications relevant to contour extraction.
“…Figure 9 shows a comparison between Li’s method [4] and the proposed method on BDGP images of touching Drosophila embryos. We can observe that Li’s method fails in all three cases, while the proposed method works well.…”
Section: Resultsmentioning
confidence: 99%
“…Fig. 9A comparison between Li’s method [4] (the first row) and the proposed method (the second row)Fig. 10More positive examples of the proposed algorithm on images of touching Drosophila embryos
…”
Section: Resultsmentioning
confidence: 99%
“…The dataset contains 2000 images of BDGP Drosophila embryos. Table 1 shows the quantitative results, including the comparison of two existing methods on contour extraction of Drosophila embryos: i) Li and Kambhamettu’s method [3] that consists an initialization based on a quadratic curve model, and a refinement based on an active contour model; ii) Li’s method [4] that can detect and restore deficiencies and faults of primal sketch tokens occurring when a targeting object is surrounded by a complex background. …”
Section: Resultsmentioning
confidence: 99%
“…In general, Drosophila embryonic images contain substantial amount of variations [3, 4]: i) imaging conditions, such as contrasts, scale, orientation, and neighboring embryos, ii) gene expression patterns, and iii) developmental stages. Most existing methods were developed upon low-level image features, such as edge pixels or pixels with a high deviation of grayvalues in a local window [3–10].…”
Section: Introductionmentioning
confidence: 99%
“…Bessinger et al [10] proposed criteria to select the optimal connected component of edge pixels in the scale space of an input image. Li [4] proposed algorithms to detect and restore deficiencies and faults of primal sketch tokens that occur when a targeting object is surrounded by a complex background.…”
BackgroundHigh resolution images of Drosophila embryos in their developmental stages contain rich spatial and temporal information of gene expression. Automatic extraction of the contour of an embryo of interest in an embryonic image is a critical step of a computational system used to discover gene-gene interaction on Drosophila.ResultsWe propose a geometric method for contour extraction of Drosophila embryos. The key of the proposed geometric method is k-dominant point extraction that is a generalization of 3-dominant point extraction proposed in our previous work. Based on k-dominant point extraction, we can approximate a connected component of edge pixels by a polygon that can be either convex or concave. The test on BDGP data shows that the proposed method outputforms two existing methods designed for contour extraction of Drosophila embryos.ConclusionsThe main advantage of the proposed geometric method in the context of contour extraction of Drosophila embryos is its ability of segmenting embryos touching each other. The proposed geometric method can also be applied to applications relevant to contour extraction.
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