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Figure 1.

Convert to intensity image and extract the feature points Using SIFT.

(a) Original image, (b) After treatment.

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Figure 1 Expand

Figure 2.

The coordinate systems.

(a) Cartesian, (b) Polar.

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Figure 2 Expand

Figure 3.

Calculating symmetric points.

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Figure 4.

Comparing gradient magnitude and orientation.

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Figure 5.

Line of symmetry joining midpoints.

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Figure 6.

True Positive Results for medical images.

(a)–(e) are various examples.

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Figure 6 Expand

Figure 7.

True Positive Results for real-world images.

(a)–(e) are various examples.

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Figure 7 Expand

Table 1.

The confusion matrix for experimental dataset.

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Table 2.

Comparison of our Approach with Loy's Method.

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Table 2 Expand

Figure 8.

The receiver operating characteristic response.

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Figure 8 Expand

Table 3.

The confusion matrix for Medical and real World Images.

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Table 3 Expand

Figure 9.

False Negative Results.

(a) and (b) are examples.

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Figure 9 Expand