Activity4 – Enhancement by Histogram Manipulation

image




















histogram and cdf of the image

Activity 3 – Image types and basic image enhancement

FileName: C:\Documents and Settings\AP186user11\Desktop\skull2.jpg
FileSize: 5732
Format: JPEG
Width: 144
Height: 143
Depth: 8
StorageType: truecolor
NumberOfColors: 0
ResolutionUnit: inch
XResolution: 96.000000
YResolution: 96.000000


jnFileName: C:\Documents and Settings\AP186user11\Desktop\skull3.jpg
FileSize: 5047
Format: JPEG
Width: 144
Height: 143
Depth: 8
StorageType: indexed
NumberOfColors: 256
ResolutionUnit: inch
XResolution: 72.000000
YResolution: 72.000000

FileName: C:\Documents and Settings\AP186user11\Desktop\leaf.jpg
FileSize: 54851
Format: JPEG
Width: 450
Height: 531
Depth: 8
StorageType: truecolor
NumberOfColors: 0
ResolutionUnit: inch
XResolution: 96.000000
YResolution: 96.000000











histogram of leaf
threshold=150









area of leaf:
number of pixels: 21344
5625 pixels/ square inch (75x75)

area:3.79449 square inches

rating:8/10- was not able to get the actual area of the irregular shaped leaf

activity 2:

self rating 7/10
the error in computing the area of the circle is too large.

square:
actual area:47x47 = 2209
reconstructed area: 2208
error=0.045%

circle:
actual area: r=23:a=1662
reconstructed area:2182
error:21%


collaborators:
toni lei uy
raf jaculbia

Activity 1: Digital Scanning

activity1

grade:10/10
the reconstructed points are almost at the same location as the original points. but i cant find the fit that would give the same fit as the original.i also obtained the same values to to that of the 0riginal data by having calibration ratios of 82pixels:2units for x-axis and 83pixels:0.4 x 10^8 for y axis, and having an offset of 10 units on the x-axis.

collaborators: jeric tugaff
ed david
lei uy
cole fabros
julie dado