초록 ▼

A method for detecting the presence of an object in multi-dimensional imagery data is disclosed. The method includes: (a) providing multi-dimensional imagery data, including an array of pixels; (b) selecting a pixel in the array; (c) applying a linear mask to the selected pixel and local pixels, inc

A method for detecting the presence of an object in multi-dimensional imagery data is disclosed. The method includes: (a) providing multi-dimensional imagery data, including an array of pixels; (b) selecting a pixel in the array; (c) applying a linear mask to the selected pixel and local pixels, including selecting pixels linearly adjacent to the selected pixel, amplifying the z coordinate of the selected pixel, summing the z coordinates of the selected linearly adjacent pixels, and comparing the amplified z coordinate to the summed z coordinates to produce value A; (d) if value A exceeds specified threshold A, then applying a confirmation mask to the selected pixel and the selected linearly adjacent pixels, including selecting one linearly adjacent pixel and comparing the z coordinate of the selected pixel to the z coordinate of the linearly adjacent pixel to produce value B; and (e) if value B exceeds specified threshold B, then designating the selected pixel as being associated with the boundary of an object.

대표청구항 ▼

1. A method for detecting an object in multi-dimensional imagery data comprising: (a) providing multi-dimensional imagery data, including an array of pixels; (b) selecting a pixel in the array; (c) applying a linear mask to the selected pixel and local pixels, including selecting pixels linearl

1. A method for detecting an object in multi-dimensional imagery data comprising: (a) providing multi-dimensional imagery data, including an array of pixels; (b) selecting a pixel in the array; (c) applying a linear mask to the selected pixel and local pixels, including selecting pixels linearly adjacent to the selected pixel, amplifying the z coordinate of the selected pixel, summing the z coordinates of the selected linearly adjacent pixels, and comparing the amplified z coordinate to the summed z coordinates to produce value A; (d) if value A exceeds specified threshold A, then applying a confirmation mask to the selected pixel and the selected linearly adjacent pixels, including selecting one linearly adjacent pixel and comparing the z coordinate of the selected pixel to the z coordinate of the linearly adjacent pixel to produce value B; and (e) if value B exceeds specified threshold b, then designating the selected pixel as being associated with the boundary of an object. 2. The method of claim 1, wherein the multi-dimensional data includes LADAR data. 3. The method of claim 1, wherein the linear mask comprises a three by three array centered about and including the selected pixel. 4. The method of claim 1, wherein threshold A is 1.65 meters. 5. The method of claim 1, wherein amplifying the z coordinate of the selected pixel amplifies the selected pixel by a factor of two. 6. The method of claim 1, wherein threshold B is 1.95 meters. 7. The method of claim 1, wherein threshold A comprises a variable. 8. A method of detecting an object in multi-dimensional imagery data comprising: (a) providing multi-dimensional imagery data, including an array of pixels; (b) locating a pixel in the array having a slope discontinuity relative to surrounding pixels in excess of a specified threshold A, wherein the slope discontinuity is determined by selecting a pixel and applying a linear mask to the selected pixel, wherein applying the linear mask includes amplifying the z coordinate of the selected pixel summing the z coordinates of the selected linearly adjacent pixels, and comparing the amplified z coordinate to the summed z coordinates; and (c) if the range of the located pixel exceeds the range of one or more of the surrounding pixels in excess of a specified threshold B, designating the located pixel as being associated with the boundary of a detected object.