1. A method performed by a computing device for determining a shadow invariant image from input image data, the method comprising:
receiving input image data associated with an image of a scene from an image recording device, each pixel of the input image data including pixel intensities associated with three or more primary colors;
calculating a shadow invariant intensity for each pixel intensity of each pixel; and
displaying a color shadow invariant image of the scene by displaying the shadow invariant intensities of each pixel on a display device.
2. The method of claim 1 wherein receiving input image data further comprises uploading data from the image recording device to the computing device.
3. The method of claim 1 wherein calculating the shadow invariant intensity for each pixel intensity further comprises computing:
P
u
=
L
u
+
\u03ba
\u2062
\u2211
i
\u2208
{
r
,
g
,
b
}
\u2062
\u03bb
i
\u03bb
u
\u2062
L
i
–
\u03bb
m
\u03bb
u
\u2062
L
m
1
–
3
\u2062
\u03ba
where Lu is the logarithm of the pixel intensity Iu;
\u03ba is a constant other than \u2153; and
\u03bbu is a wavelength of the primary color u.
4. The method of claim 3 wherein calculating the shadow invariant intensity for each pixel intensity further comprises computing:
L
u
=
log
\u2061
(
I
u
)
=
log
\u2061
(
\u03c1
d
\u2062
S
\u2061
(
\u03bb
u
)
+
\u03c1
s
)
\u2062
q
u
\u2062
2
\u2062
hc
2
\u03bb
u
5
+
(
–
hc
\u03bb
u
\u2062
kT
)
where Iu is a pixel intensity associated with primary color u;
h is Plank’s constant;
c is the speed of light in a vacuum;
k is Boltzmann’s constant;
T is the color temperature
\u03c1d and \u03c1s are geometric factors associated with diffuse and specular reflection of each pixel;
qu is the magnitude of the sensor response associated with the pixel; and
S(\u03bb) is a surface reflectance spectrum.
5. The method of claim 1 further comprises calibrating the image recording device.
6. The method of claim 5 wherein calibrating the image recording device further comprises calculating the relative wavelength
\u03bb
u
\u2032
=
1
(
L
u
\u2061
(
x
)
–
L
u
\u2061
(
y
)
)
\u2211
i
\u2208
{
r
,
g
,
b
}
\u2062
1
(
L
i
\u2061
(
x
)
–
L
i
\u2061
(
y
)
)
for each shadow and non-shadow pixel pair x and y, respectively, within a uniform color distribution.
7. The method of claim 1 wherein the image recording device further comprises a digital camera, a mobile phone, a camera phone, a personal digital assistant, a camcorder or any device that digitally captures images via an electronic image sensor and can store the image data in memory.
8. The method of claim 1 wherein the computing device further comprises a desktop computer, a laptop computer, a portable computer, a display system, a television, a computer monitor, a navigation system, a portable media player, a personal digital assistant, a game console, a handheld electronic device, an embedded electronic device, or an appliance.
9. The method of claim 1 wherein calculating the shadow invariant image further comprises assuming Plankian illuminating conditions.
10. A method performed by a computing device for determining a shadow-shading invariant image from input image data, the method comprising:
receiving input image data associated with an image of a scene from a image recording device, each pixel of the input image data including pixel intensities associated with three or more primary colors;
calculating a shadow-shading invariant intensity for each pixel intensity of each pixel; and
displaying a color shadow-shading invariant image of the scene by displaying the shadow-shading invariant intensities of each pixel on a display device.
11. The method of claim 10 wherein receiving input image data further comprises uploading data from the image recording device to the computing device.
12. The method of claim 10 wherein calculating the shadow-shading invariant intensity for each pixel intensity further comprises calculating:
p
u
=
L
u
–
\u03bb
m
\u03bb
u
\u2062
L
m
+
\u03ba
(
\u2211
i
\u2208
{
r
,
g
,
b
}
\u2062
(
\u03bb
i
\u03bb
u
\u2062
L
i
)
–
3
\u2062
\u2062
L
u
)
\u2211
i
\u2208
{
r
,
g
,
b
}
\u2062
(
\u03bb
i
\u03bb
u
\u2062
L
i
)
–
3
\u2062
\u03bb
m
\u03bb
u
\u2062
L
m
where Lu is the logarithm of the pixel intensity Iu;
\u03ba is a constant other than \u2153; and
\u03bbu is a wavelength of the primary color u.
13. The method of claim 12 wherein calculating the shadow-shading invariant intensity for each pixel intensity further comprises calculating:
L
u
=
log
\u2061
(
I
u
)
=
log
(
\u03c1
d
\u2062
S
\u2061
(
\u03bb
u
)
+
\u03c1
s
)
\u2062
q
u
\u2062
2
\u2062
hc
2
\u03bb
u
2
+
(
–
hc
\u03bb
u
\u2062
kT
)
where Iu is a pixel intensity associated with primary color u;
h is Plank’s constant;
c is the speed of light in a vacuum;
k is Boltzmann’s constant;
T is the color temperature
\u03c1d and \u03c1s are geometric factors associated with diffuse and specular reflection of each pixel;
qu is the magnitude of the sensor response associated with the pixel; and
S(\u03bb) is a surface reflectance spectrum.
14. The method of claim 10 further comprises calibrating the image recording device.
15. The method of claim 14 wherein calibrating the image recording device further comprises calculating the relative wavelength
\u03bb
u
\u2032
=
1
(
L
u
\u2061
(
x
)
–
L
u
\u2061
(
y
)
)
\u2211
i
\u2208
{
r
,
g
,
b
}
\u2062
1
(
L
i
\u2061
(
x
)
–
L
i
\u2061
(
y
)
)
for each shadow and non-shadow pixel pair x and y, respectively, within a uniform color distribution.
16. The method of claim 10 wherein the image recording device further comprises a digital camera, a mobile phone, a camera phone, a personal digital assistant, a camcorder or any device that digitally captures images via an electronic image sensor and can store the image data in memory.
17. The method of claim 10 wherein the computing device further comprises a desktop computer, a laptop computer, a portable computer, a display system, a television, a computer monitor, a navigation system, a portable media player, a personal digital assistant, a game console, a handheld electronic device, an embedded electronic device, or an appliance.
18. The method of claim 10 wherein calculating the shadow-shading invariant image further comprises assuming Plankian illuminating conditions.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. An implantable device for placement on a tissue surface and interior to an exterior tissue surface comprising:
a) a biodegradable supportive backing comprising a first biodegradable material, the supportive backing having:
i.) at least a first area with a plurality of biodegradable attachment points extending from the first area for attaching to a selected tissue, wherein the plurality of attachment points is comprised of at least a second biodegradable material that is different than the first biodearadable material, and
ii.) a second area discrete from the first area, wherein the backing has physical characteristics sufficient to approximate or to support the selected tissue adjacent the first area with respect to the second area, and
b) the plurality of biodegradable attachment points extending from the first area, wherein the plurality of biodegradable attachment points are configured to attach to the selected tissue and to distribute tension between the first area and the selected tissue.
2. The implantable device of claim 1 wherein the first biodegradable material is more flexible than the second biodegradable material.
3. The implantable device of claim 1 wherein the first biodegradable material comprises a first polymer or copolymer and the second biodegradable material comprises a second polymer or copolymer.
4. The implantable device of claim 3 wherein said first polymer or copolymer comprises one or more materials selected from the group consisting of polyglycolide, polylactide, poly-\u03b1-caprolactone, polyglyconate, polylactide-co-glycolide, their mixtures, alloys, and random and block copolymers.
5. The implantable device of claim 3 wherein said second polymer or copolymer comprises one or more materials selected from the group consisting of polyglycolide, polylactide, poly-\u03b1-caprolactone, polyglyconate, polylactide-co-glycolide, their mixtures, alloys, and random and block copolymers.
6. The implantable device of claim 1 wherein the plurality of attachment points is additionally comprised of a plurality of biodegradable materials.
7. The implantable device of claim 1 wherein said plurality of biodegradable attachment points comprise more than one shape.
8. The implantable device of claim 1 wherein said plurality of biodegradable attachment points comprise shapes and directions selected from the group consisting of canted tines, erect tines, canted hooks, canted arrowheads, erect barbed tipped tines, canted barbed tipped tines, erect arrowhead tipped tines, canted arrowhead tipped tines, erect nail-shaped tines, canted nail-shaped tines, and cheese grater-like tines.
9. The implantable device of claim 1 wherein said biodegradable supportive backing comprises front and back sides.
10. The implantable device of claim 9 wherein said plurality of biodegradable attachment points extend from the biodegradable supportive backing on said front and back sides.
11. The implantable device of claim 10 wherein auxiliary biodegradable attachment points comprising a third biodegradable material extend from said back side.
12. The implantable device of claim 11 wherein the third biodegradable material comprises a third polymer or copolymer.
13. The implantable device of claim 12 wherein said third polymer or copolymer comprises one or more materials selected from the group consisting of polyglycolide, polylactide, poly-\u03b1-caprolactone, polyglyconate, polylactide-co-glycolide, their mixtures, alloys, and random and block polymers.
14. An implantable device for placement on a tissue surface and interior to an exterior tissue surface comprising:
a) a supportive backing having:
i.) at least a first biodegradable area with a plurality of biodegradable attachment points extending from the first area for attaching to a selected tissue and
ii.) a second area discrete from the first area, wherein the backing has physical characteristics sufficient to approximate or to support the selected tissue adjacent the first area with respect to the second area, and
b) the plurality of biodegradable attachment points extending from the first area, wherein the plurality of biodegradable attachment points are configured to attach to the selected tissue and to distribute tension between the first area and the selected tissue;
wherein the first biodegradable area is comprised of a first biodegradable material and the plurality of biodegradable attachment points is comprised of a second biodegradable material that is different than the first biodegradable material.
15. The implantable device of claim 14 wherein the second area is biodegradable.
16. The implantable device of claim 14 wherein the second area comprises an anchor for tissue.
17. The implantable device of claim 16 wherein the anchor comprises a pin, nail, or screw.
18. The implantable device of claim 14 wherein the first biodegradable material comprises a first polymer or copolymer and the second biodegradable material comprises a second polymer or copolymer.
19. The implantable device of claim 18 wherein said first polymer or copolymer comprises one or more materials selected from the group consisting of polyglycolide, polylactide, poly-\u03b1-caprolactone, polyglyconate, polylactide-co-glycolide, their mixtures, alloys, and random and block copolymers.
20. The implantable device of claim 18 wherein said second polymer or copolymer comprises one or more materials selected from the group consisting of polyglycolide, polylactide, poly-\u03b1-caprolactone, polyglyconate, polylactide-co-glycolide, their mixtures, alloys, and random and block copolymers.
21. An implantable device for placement on a tissue surface and interior to an exterior tissue surface comprising:
a) a biodegradable supportive backing having:
i.) at least a first area having a first density with a plurality of biodegradable attachment points extending from the first area for attaching to a selected tissue and
ii.) a second area discrete from the first area and having at least a second density that is different than the first density, wherein the backing has physical characteristics sufficient to approximate or to support the selected tissue adjacent the first area with respect to the second area, and
b) the plurality of biodegradable attachment points extending from the first area, wherein the plurality of biodegradable attachment points are configured to attach to the selected tissue and to distribute tension between the first area and the selected tissue.
22. The implantable device of claim 21 wherein the first density is greater than the second density.
23. The implantable device of claim 21 wherein the first density is less than the second density.
24. The implantable device of claim 21 wherein the second area of the supportive backing additionally comprises a plurality of densities.
25. The implantable device of claim 21 wherein the first area having the first density comprises a first polymer or copolymer and the second area having the second density comprises a second polymer or copolymer.
26. The implantable device of claim 25 wherein said first polymer or copolymer comprises one or more materials selected from the group consisting of polyglycolide, polylactide, poly-\u03b1-caprolactone, polyglyconate, polylactide-co-glycolide, their mixtures, alloys, and random and block copolymers.
27. The implantable device of claim 25 wherein said second polymer or copolymer comprises one or more materials selected from the group consisting of polyglycolide, polylactide, poly-\u03b1-caprolactone, polyglyconate, polylactide-co-glycolide, their mixtures, alloys, and random and block copolymers.