Dilation your face                                                                                                                                                                                                                                                                         

 Task 1                                                                                                                                      

 Get your image from digital cam and process it.

 Solution                                                                                                                                    

im = imread('zeeya2.bmp');

imshow(im)

g = rgb2gray(im);

figure, imshow(g)

h = g > 115;

figure, imshow(h)

se = eye(3);

c = bwmorph(h,'open');        

figure, imshow(c)

d = bwmorph(h,'close');        

figure, imshow(d)

 Result                                                                                                                                       

Note:

1) When we performed bwmorph(h,'open'), it converted  image's light portion to white and dark portion to black.

2) When we performed bwmorph(h,'close'),  it did the same job in addition produced much smoother image than above.

 Text Aligning                                                                                                                                                                                                                                                                                

 Task 2                                                                                                                                      

 Read the image text.tif, perform some closing operations on it, try to merge the letters together to form word 'Colate'.

 Solution                                                                                                                                    

BW1 = imread('text.tif');

 Result                                                                                                                                       

.

 HELP                                                                                                                                       

 ERODE                                                                                                                                    

 ERODE Perform erosion on binary image.
BW2 = ERODE(BW1,SE) performs erosion on the binary image BW1 using the binary structuring element SE. SE is a matrix containing only 1's and 0's.
BW2 = ERODE(BW1,SE,ALG) performs erosion using the specified algorithm. ALG is a string that can have one of these values:
'spatial' (default) - processes the image in the spatial domain. This algorithm works well for relatively small images and structuring elements, but for large images and structuring elements it can be slow.
'frequency' - processes the image in the frequency domain. This algorithm is faster for large images and structuring elements than 'spatial', but uses much more memory.
The spatial and frequency algorithms produce the same result, but make different tradeoffs between speed and memory usage. If you want to speed up erosion, specify the 'frequency' algorithm. If you receive "out of memory" messages or if your computer slows down because of disk paging, specify the 'spatial' algorithm.
BW2 = ERODE(BW1,SE,...,N) performs the erosion operation N times.

Class Support
The input image BW1 can be of class double or uint8. The
output image BW2 is of class uint8.

Example
BW1 = imread('text.tif');
SE = ones(3,1);
BW2 = erode(BW1,SE);
imshow(BW1), figure, imshow(BW2)
 

 EYE                                                                                                                                          

EYE Identity matrix.
EYE(N) is the N-by-N identity matrix.
EYE(M,N) or EYE([M,N]) is an M-by-N matrix with 1's on the diagonal and zeros elsewhere.
EYE(SIZE(A)) is the same size as A.

 COLORMAP                                                                                                                           

COLORMAP Color look-up table.
COLORMAP(MAP) sets the current figure's colormap to MAP. COLORMAP('default') sets the current figure's colormap to the root's default, whose setting is JET.
MAP = COLORMAP retrieves the current colormap. The values are in the range from 0 to 1.
A color map matrix may have any number of rows, but it must have exactly 3 columns. Each row is interpreted as a color, with the first element specifying the intensity of red light, the second  green, and the third blue. Color intensity can be specified on the interval 0.0 to 1.0.
For example, [0 0 0] is black, [1 1 1] is white,  [1 0 0] is pure red, [.5 .5 .5] is gray, and [127/255 1 212/255] is aquamarine.
Graphics objects that use pseudocolor -- SURFACE and PATCH objects, which are created by the functions MESH, SURF, and PCOLOR -- map a color matrix, C, whose values are in the range [Cmin, Cmax], to an array of indices, k, in the range [1, m]. The values of Cmin and Cmax are either min(min(C)) and max(max(C)), or are specified by CAXIS. The mapping is linear, with Cmin mapping to index 1 and Cmax mapping to index m. The indices are then used with the colormap to determine the color associated with each matrix element. See CAXIS for details.
Type HELP GRAPH3D to see a number of useful colormaps.
COLORMAP is an M-file that sets the Colormap property of the current figure.               

 IMAGESC                                                                                                                                

IMAGESC Scale data and display as image.
IMAGESC(...) is the same as IMAGE(...) except the data is scaled to use the full colormap.
IMAGESC(...,CLIM) where CLIM = [CLOW CHIGH] can specify the scaling.

 DILATE                                                                                                                                    

DILATE Perform dilation on binary image.
BW2 = DILATE(BW1,SE) performs dilation on the binary image BW1, using the binary structuring element SE. SE is a matrix containing only 1's and 0's.
BW2 = DILATE(BW1,SE,ALG) performs dilation using the specified algorithm. ALG is a string that can have one of these values:
'spatial' - processes the image in the spatial domain. This algorithm works well for relatively small images and structuring elements, but for large images and structuring elements it can be slow. This is the default algorithm. 'frequency' processes the image in the frequency domain. This algorithm is faster for large images than 'spatial', but uses much more memory.
The spatial and frequency algorithms produce the same result, but make different tradeoffs between speed and memory use. If you want to speed up dilation, specify the 'frequency' algorithm. If you receive "out of memory" messages when you perform dilation, specify the 'spatial' algorithm.
BW2 = DILATE(BW1,SE,...,N) performs the dilation operation N times.

Class Support
The input image BW1 can be of class double or uint8. The output image BW2 is of class uint8.
 

Example
BW1 = imread('text.tif');
SE = ones(6,2);
BW2 = dilate(BW1,SE);
imshow(BW1)
figure, imshow(BW2)

 ERODE                                                                                                                                     

ERODE Perform erosion on binary image.
BW2 = ERODE(BW1,SE) performs erosion on the binary image BW1 using the binary structuring element SE. SE is a matrix containing only 1's and 0's.
BW2 = ERODE(BW1,SE,ALG) performs erosion using the specified algorithm. ALG is a string that can have one of these values:
'spatial' (default) - processes the image in the spatial domain. This algorithm works well for relatively small images and structuring elements, but for large images and structuring elements it can be slow.
'frequency' - processes the image in the frequency domain. This algorithm is faster for large images and structuring elements than 'spatial', but uses much more memory.
The spatial and frequency algorithms produce the same result, but make different tradeoffs between speed and memory usage. If you want to speed up erosion, specify the 'frequency' algorithm. If you receive "out of memory" messages or if your computer slows down because of disk paging, specify the 'spatial' algorithm.
BW2 = ERODE(BW1,SE,...,N) performs the erosion operation N times.

Class Support
The input image BW1 can be of class double or uint8. The output image BW2 is of class uint8.

Example
BW1 = imread('text.tif');
SE = ones(3,1);
BW2 = erode(BW1,SE);
imshow(BW1), figure, imshow(BW2)

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