Invariant moment and Hilbert code based zero watermarking method of vector residential place
A zero-watermark and vector technology, applied in the field of cartography and geographic information science, can solve the problem that the embedded watermark method cannot be directly applied to vector residential data, and achieve good use value, good robustness, and advanced methods.
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[0021] In order to describe the technical content, structural features, objectives and effects of the present invention in detail, the following will be described in detail in conjunction with specific embodiments.
[0022] The implementation steps of the present invention can be summarized into two parts: zero-watermark construction and zero-watermark detection and optimization strategy of adding and deleting attacks. Each implementation step is further described below.
[0023] Step 1: Sort the objects of residential places according to their values, and use the formula (8) to calculate the 7 invariant moments of each residential place in this order to generate an invariant moment set.
[0024] Step 2: Express the positive numbers in the invariant moment set with "1" and the negative numbers with "0" to generate a binary matrix.
[0025] Step 3: Read the matrix value of the original watermark image to get the matrix
[0026] P×Q=N is the image matrix size. The original im...
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