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1) Image processing Program of Gauge

%To determine the Gauge

>> %Image Acquisition>> I1=imread('gauge.JPG');>> figure,imshow(I1)

>> %Cropping the image>> I2=imcrop(I1, [230 160 320 250]);>> figure, imshow(I2)

>> %Convert into grayscale image>> I3=rgb2gray(I2);

>> figure,imshow(I3)

>>% To show gray histogram

>> figure,imhist(I3)

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>> %Convert into binary image>> I4=im2bw(I3,73/255);>> figure,imshow(I4)

>> %To compliment the image>> I5=imcomplement(I4);>>figure,imshow(I5),title('Compliment

image');

>> %To fill the hole>> I6=imfill(I5,'holes');>> figure,imshow(I6)

>> %To fill the hole>> I7=bwareaopen(I6,4000);>> figure,imshow(I7)

>> %Measure the diameter>> I8=regionprops(I7,'basic');>> A=[I8.Area];>> D= sqrt(4*A/pi);

Area =4319

Diameter = 74.1561

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2) Image processing Program of Gauge on block

>> %To determine the gauge on block

>> %Image Acquisition>> I1=imread('gauge on block.JPG');

>> %Cropping the image>> I2=imcrop(I1, [210 180 320 250]);>> figure, imshow(I2)

>> %Convert into grayscale image>> I3=rgb2gray(I2);

>> figure,imshow(I3)

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>>% To show gray histogram

>> figure,imhist(I3)

>> %Convert into binary image>> I4=im2bw(I3,80/255);>> figure,imshow(I4)

>> %To compliment the image>> I5=imcomplement(I4);

>>figure,imshow(I5)

>> %To fill the hole>> I6=imfill(I5,'holes');>> figure,imshow(I6)

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>> %To filter the unwanted area>> I7=bwareaopen(I6,4000);>> figure,imshow(I7)

>> %Measure the diameter>> I8=regionprops(I7,'basic');>> A=[I8.Area];>> D= sqrt(4*A/pi);

Area =4319

Diameter = 74.1561

3) Image processing Program of 5 cents

>> %To determine the diameter

of 5 cents

>> %Image Acquisition>> I1=imread('5-2.JPG');>> figure,imshow(I1)

>> %Cropping the image>> I2=imcrop(I1, [180 160 320

250]);>> figure, imshow(I2)

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>> %Convert into grayscale

image>> I3=rgb2gray(I2);>> figure,imshow(I3)

>>% To show gray histogram

>> figure,imhist(I3)

>> %Convert into binary image

>> I4=im2bw(I3,73/255);>> figure,imshow(I4)

>> %find the unwanted noise

I5=imfill(I4,'holes');>> figure,imshow(I5)

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>> %To remove unwanted noise

from image 4>> I6=I5-I4;>> figure,imshow(I6)

>> %MOrphological process>> I7=bwareaopen(I6,100);>> figure,imshow(I7)

>> %Measure the diameter>> I8=regionprops(I7,'basic');>> A=[I8.Area];>> Dia = sqrt(4*A/pi);

Area = 12171

Diameter = 124.4853

4) Image processing Program of 10 cents

>> %To determine the diameter

of 10 cents

>> %Image Acquisition>> I1=imread('10-2.JPG');>> figure,imshow(I1)

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>> %Cropping the image>> I2=imcrop(I1, [210 100 300

250]);>> figure, imshow(I2)

>> %Convert into grayscale

image>> I3=rgb2gray(I2);>> figure,imshow(I3)

>>% To show gray histogram

>> figure,imhist(I3)

>> %Convert into binary image>> I4=im2bw(I3,88/255);>> figure,imshow(I4)

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>>%To compliment the image>> I5=imcomplement(I4);>> figure,imshow(I5)

>> %To fill the hole>> I6=imfill(I5,'holes');>> figure,imshow(I6)

>> %To remove unwanted area>> I7=bwareaopen(I6,100);>> figure,imshow(I7

>> %Measure the diameter>> I8=regionprops(I7,'basic');>> A=[I8.Area];>> Dia = sqrt(4*A/pi);

Area = 14391

Diameter = 135.3632

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5) Image processing Program of 20 cents

>> %To determine the diameter of 5

cents

>> %Image Acquisition>> I1=imread('20-2.JPG');

>> figure,imshow(I1)

>> %Cropping the image>> I2=imcrop(I1, [150 100 300

250]);>> figure, imshow(I2)

>> %Convert into grayscale image

>> I3=rgb2gray(I2);>> figure,imshow(I3)

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>>% To show gray histogram

>> figure,imhist(I3)

>> %Convert into binary image>> I4=im2bw(I3,77/255);>> figure,imshow(I4)

>> %To compliment the image>>I5=imcomplement(I4);

>>figure,imshow(I5);

>> %To fill the hole>> I6=imfill(I5,'holes');>> figure,imshow(I6)

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>> %To remove unwanted area>> I7=bwareaopen(I6,10000);>> figure,imshow(I7)

>> %Measure the diameter>> I8=regionprops(I8,'basic');>> A=[I8.Area];>> Dia = sqrt(4*A/pi);

Area = 22394

Diameter = 168.8577

4) Image processing Program of 50 cents

>> %To determine the

diameter of 50 cents

>> %Image Acquisition>> I1=imread('50-2.JPG');>> figure,imshow(I1)

>> %Cropping the image>> I2=imcrop(I1, [150 70

300 250]);>> figure, imshow(I2)

>> %Convert into grayscaleimage>> I3=rgb2gray(I2);>> figure,imshow(I3)

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>>% To show gray histogram

>> figure,imhist(I3)

>> %Convert into binary

image>> I4=im2bw(I3,83/255);>> figure,imshow(I4)

>> %To compliment the image>> I5=imcomplement(I4);>> figure,imshow(I5)

>> %To fill the hole>> I6=imfill(I5,'holes');>> figure,imshow(I6)

>> %To remove the unwanted

area>> I7=bwareaopen(I6,10000);>> figure,imshow(I7)

>> %Measure the diameter>> I8=regionprops(I7,'basic');>> A=[I8.Area];

Area = 30023

Diameter = 195.5159

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