Activity 3:

Results

Image Types

Binary Image

A Binary Image is an image with either black or white pixels.

Figure 1: Sample Binary Image

File Characteristics:

Size: 140 x 200 pixels

File size: 2660 bytes

Format: PNG

Depth: 8

Storage Type: Indexed

Number of Colors: 2

Resolution unit: centimeter

X resolution: 72.00

Y resolution: 72.00

Map = [[0. 0. 0.],[1. 1. 1.]]

Gray-scale Images:

These are images with black and white colors in it. Compared to binary images with only two possible values for each pixel, a grayscale image pixel value can range from 0(black) or 255(white).

Figure 2: Sample Grayscale image

File characteristics:

Size: 300 x 450 pixels

File Size: 77088 bytes

Format: JPEG

Depth: 8

Storage Type: Truecolor

Number of colors: 0

Resolution unit: inch

X resolution: 180.00

Y resolution: 180.00

True Color Images

Images with intesity values of red green and blue.

Figure 3: True color Image sample

File Characteristics:

Size: 480 x 640 pixels

File Size: 32129 bytes

Format: JPEG

Depth: 8

Storage Type: True color

Number of Colors: 0

Resolution unit: inch

X resolution: 96.00

Y resolution: 96.00

Indexed Images

Images with colors referenced to a colormap index.

Figure 4: Sample Indexed Image

File Characteristics

Size: 462 x 453 pixels

FileSize: 12855

Format: GIF

Depth: 8

StorageType: indexed

NumberOfColors: 16

ResolutionUnit: centimeter

XResolution: 72.00

YResolution: 72.00

Advanced Imaging Techniques and Devices:

High Dynamic Range Images

HDRI

Hyperspectral Images

HI

3D Images

3DI

Images can be converted using numerical manipulation and thresholding of the pixel values. Using the image show in Figure 3 we can convert the image into a binary or grayscale image.

Figure 5: Truecolor image converted to binary image format.

Figure 6: Truecolor image converted to grayscale image.

We could further improve the quality of the binary image by taking the histogram of the image and determining the threshold value used in the conversion. Figure 7 shows the histogram of Figure 6.

Figure 7: Histogram of pixel values for the image in Figure 6

We could select the threshold value to 0.4 to remove some of the excess white colors in the figure. In doing this improvement in the image quality as seen in Figure 8.

Figure 8: Improve Binary image of Figure 4.

We can clearly see the in comparison to the initial conversion to the binary image this image has increase in quality by the improvement of the clarity of the title of the book introduction to quantum mechanics wherein in the previous conversion the quantum part is not well defined.

References:

[1] Soriano, M, "Activity 3: Image Types and Formats 2010", AP 186

Acknowledgements: Thank you ma'am jing for your assistance in saving the graphs.

Self evalutaion: 10

Justification: Images required are produced and the the improvement in the thresholding can be seen in the results.