new ImageAccess(height, widthopt, init_dictopt) → {ImageAccess}
Creates a new image of the specified height and width.
Properties:
Name | Type | Description |
---|---|---|
image |
Array
|
The image stored as a 2D Array |
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Parameters:
Name | Type | Attributes | Description | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
height |
Integer
|
Array
|
The height of the image, or an array of [height, width], or an existing 2D array | ||||||||||||||||
width |
Integer
|
<optional> |
The width of the image | |||||||||||||||
init_dict |
Object
|
<optional> |
Object specifying the initial values for the image
|
Returns:
- Type:
-
ImageAccess
Examples
new ImageAccess(height, width);
new ImageAccess([height, width]);
new ImageAccess(img.shape());
new Image(height, width, {init_value:255});
new Image(arr);
Methods
(static) applyBoundaryCondition(x, y, shap, paddingopt) → {Array}
Adjusts index values based on the shape and specified boudary conditions
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Parameters:
Name | Type | Attributes | Default | Description |
---|---|---|---|---|
x |
Integer
|
The x index | ||
y |
Integer
|
The y index | ||
shap |
Array
|
The shape (size) of the image ([ny, nx] )
|
||
padding |
String
|
<optional> |
'mirror' | The boundary condition to apply ('mirror', 'repeat' or 'zero') |
Returns:
- Type:
-
Array
The modified indices as an array (
[x, y]
)
(static) arrayCompare(a1, a2, erropt, tolopt, utilObjopt) → {Boolean}
Checks if two array are equal within a certain tolerance
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Parameters:
Name | Type | Attributes | Default | Description | ||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a1 |
Array
|
The first array | ||||||||||||||||||||||
a2 |
Array
|
The second array | ||||||||||||||||||||||
err |
Object
|
<optional> |
Object containing the error message
|
|||||||||||||||||||||
tol |
Number
|
<optional> |
1e-5 | The tolerance used for the comparison | ||||||||||||||||||||
utilObj |
Object
|
<optional> |
Object containing internally used variables
|
Returns:
- Type:
-
Boolean
true
if the two Arrays are equal within the tolerance, false
if not
(static) fromHTMLImageElement(htmlImageElement) → {ImageAccess}
Creates an ImageAccess object from an HTMLImageElement object
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Parameters:
Name | Type | Description |
---|---|---|
htmlImageElement |
HTMLImageElement
|
The HTMLImageElement where the image is stored |
Returns:
- Type:
-
ImageAccess
(static) getMax(arr) → {Number}
Calculates the maximum value of an array with arbitrary dimensions
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Parameters:
Name | Type | Description |
---|---|---|
arr |
Array
|
The input Array |
Returns:
- Type:
-
Number
The maximum
(static) getMin(arr) → {Number}
Calculates the minimum value of an array with arbitrary dimensions
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Parameters:
Name | Type | Description |
---|---|---|
arr |
Array
|
The input Array |
Returns:
- Type:
-
Number
The minimum
(static) getNbh(img, x_pos, y_pos, nx, ny, paddingopt) → {Array}
Returns a neighbourhood of an Array
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Parameters:
Name | Type | Attributes | Default | Description |
---|---|---|---|---|
img |
Array
|
The 2D input Array | ||
x_pos |
Integer
|
The x position of the center of the neighbourhood | ||
y_pos |
Integer
|
The y position of the center of the neighbourhood | ||
nx |
Integer
|
The width of the neighbourhood | ||
ny |
Integer
|
The height of the neighbourhood | ||
padding |
String
|
<optional> |
'mirror' | The boundary condition to apply ('mirror', 'repeat' or 'zero') |
Returns:
- Type:
-
Array
- The neighbourhood as a 2D Array
(static) isNormalizationError(img1, img2, copt, tolopt) → {Boolean}
Checks if there is a normalization error between two Arrays. A normalization error means that one array is a scalar multiple of the other.
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Parameters:
Name | Type | Attributes | Default | Description | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
img1 |
Array
|
The first array | ||||||||||||
img2 |
Array
|
The second array | ||||||||||||
c |
Object
|
<optional> |
|
|||||||||||
tol |
Number
|
<optional> |
1e-3 | The tolerance used for the comparison |
Returns:
- Type:
-
Boolean
true
if it is a normalization error, false
if not
(static) min(a, b) → {Number|Array}
Calculates the minimum per color channel of two color- or graylevel pixels
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Parameters:
Name | Type | Description |
---|---|---|
a |
Number
|
Array
|
The first pixel |
b |
Number
|
Array
|
The second pixel |
Returns:
- Type:
-
Number
|Array
- The minimum per color channel of the two pixels
(static) MultidimArray(init_value, height, widthopt, depthopt) → {Array}
Creates a 1D/2D/3D Array
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Parameters:
Name | Type | Attributes | Description |
---|---|---|---|
init_value |
Number
|
The initial value to set to all elements of the array | |
height |
Integer
|
The height of the array | |
width |
Integer
|
<optional> |
The width of the array |
depth |
Integer
|
<optional> |
The depth of the array |
Returns:
- Type:
-
Array
An array of size
height
x width
x depth
initialized to init_value
(static) ndims(arr) → {Number}
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Parameters:
Name | Type | Description |
---|---|---|
arr |
Array
|
Returns:
- Type:
-
Number
The number of dimensions of an array
(static) shape(arr)
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Parameters:
Name | Type | Description |
---|---|---|
arr |
Array
|
Returns:
The shape / size of an array
(static) transpose(array) → {Array}
Returns the transpose of an array
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Parameters:
Name | Type | Description |
---|---|---|
array |
Array
|
The 2D input Array |
Returns:
- Type:
-
Array
The transposed Array
displayImage(scaleopt, showPixelsopt, idopt) → {HTMLCanvasElement}
Returns an html canvas to display the image
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Parameters:
Name | Type | Attributes | Default | Description |
---|---|---|---|---|
scale |
Number
|
<optional> |
1 | The size scale of the image |
showPixels |
Boolean
|
<optional> |
false | Indicates whether a pixel grid is drawn or not (only use for small images) |
id |
String
|
<optional> |
'' | The html canvas id to use |
Returns:
- Type:
-
HTMLCanvasElement
- The html canvas containing the image
fromArray(arr)
Updates the image from a provided array.
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Parameters:
Name | Type | Description |
---|---|---|
arr |
Array
|
A 2D Array containing the image |
getColumn(x, paddingopt) → {ImageAccess}
Returns the column at location x
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Parameters:
Name | Type | Attributes | Default | Description |
---|---|---|---|---|
x |
Integer
|
The horizontal (x) location of the column | ||
padding |
String
|
<optional> |
'mirror' | The boundary condition to apply ('mirror', 'repeat' or 'zero') |
getMax(recalcopt) → {Number}
Returns the maximum value of the image
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Parameters:
Name | Type | Attributes | Default | Description |
---|---|---|---|---|
recalc |
Boolean
|
<optional> |
false | A boolean indicating if the maximum needs to be recalculated |
Returns:
- Type:
-
Number
- The maximum value of the image
getMin(recalcopt) → {Number}
Returns the minimum value of the image
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Parameters:
Name | Type | Attributes | Default | Description |
---|---|---|---|---|
recalc |
Boolean
|
<optional> |
false | A boolean indicating if the minimum needs to be recalculated |
Returns:
- Type:
-
Number
- The minimum value of the image
getNbh(x_pos, y_pos, nx, ny, paddingopt) → {Nbh_Access}
Returns a neighbourhood of the image
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Parameters:
Name | Type | Attributes | Default | Description |
---|---|---|---|---|
x_pos |
Integer
|
The x position of the center of the neighbourhood | ||
y_pos |
Integer
|
The y position of the center of the neighbourhood | ||
nx |
Integer
|
The width of the neighbourhood | ||
ny |
Integer
|
The height of the neighbourhood | ||
padding |
String
|
<optional> |
'mirror' | The boundary condition to apply ('mirror', 'repeat' or 'zero'). |
getPixel(x, y, paddingopt) → {Number}
Returns the pixel value at position (x,y)
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Parameters:
Name | Type | Attributes | Default | Description |
---|---|---|---|---|
x |
Integer
|
The horizontal (x) position of the pixel | ||
y |
Integer
|
The vertical (y) position of the pixel | ||
padding |
String
|
<optional> |
'mirror' | The boundary condition to apply ('mirror', 'repeat' or 'zero') |
Returns:
- Type:
-
Number
The pixel value
getRow(y, paddingopt) → {ImageAccess}
Returns the row of pixels at location y
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Parameters:
Name | Type | Attributes | Default | Description |
---|---|---|---|---|
y |
Integer
|
The vertical (y) location of the row | ||
padding |
String
|
<optional> |
'mirror' | The boundary condition to apply ('mirror', 'repeat' or 'zero') |
getSubImage(x, y, nx, ny) → {ImageAccess}
Returns a sub-image from the image
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Parameters:
Name | Type | Description |
---|---|---|
x |
Integer
|
The horizontal (x) location of the top-left corner of the sub-image |
y |
Integer
|
The vertical (y) location of the top-left corner of the sub-image |
nx |
Integer
|
The width of the sub-image |
ny |
Integer
|
The height of the sub-image |
imageCompare(newImage, erropt, tolopt) → {Boolean}
Checks if this image is equal to another within a certain tolerance
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Parameters:
Name | Type | Attributes | Default | Description | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
newImage |
ImageAccess
|
The second image to compare | ||||||||||||
err |
Object
|
<optional> |
Object containing the error message
|
|||||||||||
tol |
Number
|
<optional> |
1e-5 | The tolerance used for the comparison |
Returns:
- Type:
-
Boolean
true
if the two images are equal within the tolerance, false
if not
isNormalizationError(img) → {Boolean}
Checks if there is a normalization error between this image and another image. A normalization error means that one array is a scalar multiple of the other.
- Source:
Parameters:
Name | Type | Description |
---|---|---|
img |
ImageAccess
|
The other image to compare |
Returns:
- Type:
-
Boolean
true
if it is a normalization error, false
if not
ndims() → {Number}
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Returns:
- Type:
-
Number
The number of dimensions of the image
putColumn(x, new_column, paddingopt)
Inserts a new column at location x
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Parameters:
Name | Type | Attributes | Default | Description |
---|---|---|---|---|
x |
Integer
|
The horizontal (x) location of the column | ||
new_column |
ImageAccess
|
The new column to insert | ||
padding |
String
|
<optional> |
'mirror' | The boundary condition to apply ('mirror', 'repeat' or 'zero') |
putRow(y, new_row, paddingopt)
Inserts a row at location y
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Parameters:
Name | Type | Attributes | Default | Description |
---|---|---|---|---|
y |
Integer
|
The vertical (y) position of the row | ||
new_row |
ImageAccess
|
The new row to insert | ||
padding |
String
|
<optional> |
'mirror' | The boundary condition to apply ('mirror', 'repeat' or 'zero') |
putSubImage(x, y, img)
Inserts another image into the image
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Parameters:
Name | Type | Description |
---|---|---|
x |
Integer
|
The horizontal (x) location of the top-left corner of the sub-image |
y |
Integer
|
The vertical (y) location of the top-left corner of the sub-image |
img |
ImageAccess
|
The image to insert |
setPixel(x, y, value, paddingopt)
Sets the pixel value at location (x,y)
- Source:
Parameters:
Name | Type | Attributes | Default | Description |
---|---|---|---|---|
x |
Integer
|
The horizontal (x) position of the pixel | ||
y |
Integer
|
The vertical (y) position of the pixel | ||
value |
Number
|
The new value to which this pixel will be set | ||
padding |
String
|
<optional> |
'mirror' | The boundary condition to apply ('mirror', 'repeat' or 'zero') |
sort(bopt) → {ImageAccess}
Returns the pixel values in ascending order
- Source:
Parameters:
Name | Type | Attributes | Description |
---|---|---|---|
b |
ImageAccess
|
<optional> |
The kernel. It should be the same size as the image and contain 0s and 1s (or any other number), specifying which pixels are used during the sorting. By default, all pixels are used |
toArray() → {Array}
- Source:
Returns:
- Type:
-
Array
A Copy of the image as a 2D Array
visualize(decimalsopt) → {String}
Returns a formatted string that can be used to display the image in the console
- Source:
Parameters:
Name | Type | Attributes | Default | Description |
---|---|---|---|---|
decimals |
Integer
|
<optional> |
3 | The number of maximal decimals to use |
Returns:
- Type:
-
String
The image as a formatted string