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Find Cartesian coordinates of lines described by rho and theta pairs

Transforms

`visiontransforms`

The Hough Lines block finds the points of intersection between the reference image boundary lines and the line specified by a (rho, theta) pair. The block outputs one-based [x y] coordinates for the points of intersection. The boundary lines indicate the left and right vertical boundaries and the top and bottom horizontal boundaries of the reference image.

If the line specified by the (rho, theta) pair does not intersect
two border lines in the reference image, the block outputs the values,
[`(0,0), (0,0)`

]. This output intersection value
allows the next block in your model to ignore the points. Generally,
the Hough Lines block precedes a block that draws a
point or shape at the intersection.

The following figure shows the input and output coordinates for the Hough Lines block.

Port | Input/Output | Supported Data Types | Complex Values Supported |
---|---|---|---|

Theta | Vector of theta values that represent input lines | Double-precision floating point Single-precision floating point Fixed point (signed, word length less than or equal to 32) 8-, 16-, and 32-bit signed integer
| No |

Rho | Vector of rho values that represent input lines | Same as Theta port | No |

Ref I | Matrix that represents a binary or intensity image or matrix that represents one plane of an RGB image | Double-precision floating point Single-precision floating point Fixed-point (signed and unsigned) Custom data types Boolean 8-, 16-, and 32-bit signed integer 8-, 16-, and 32-bit unsigned integer
| No |

Pts |
| 32-bit signed integer
| No |

**Sine value computation method**If you select

`Trigonometric function`

, the block computes sine and cosine values to calculate the intersections of the lines during the simulation. If you select`Table lookup`

, the block computes and stores the trigonometric values to calculate the intersections of the lines before the simulation starts. In this case, the block requires extra memory.For floating-point inputs, set the

**Sine value computation method**parameter to`Trigonometric function`

. For fixed-point inputs, set the parameter to`Table lookup`

.**Theta resolution (radians)**Use this parameter to specify the spacing of the theta-axis. This parameter appears in the dialog box only if, for the

**Sine value computation method**parameter, you select`Table lookup`

. parameter appears in the dialog box.

**Rounding mode**Select the rounding mode for fixed-point operations.

**Overflow mode**Select the overflow mode for fixed-point operations.

**Sine table**Choose how to specify the word length of the values of the sine table. The fraction length of the sine table values always equals the word length minus one:

When you select

`Specify word length`

, you can enter the word length of the sine table.The sine table values do not obey the

**Rounding mode**and**Overflow mode**parameters; they saturate and round to`Nearest`

.**Product output**Use this parameter to specify how to designate this product output word and fraction lengths:

When you select

`Same as first input`

, the characteristics match the characteristics of the first input to the block.When you select

`Binary point scaling`

, you can enter the word length and the fraction length of the product output, in bits.When you select

`Slope and bias scaling`

, you can enter the word length, in bits, and the slope of the product output. All signals in the Computer Vision System Toolbox™ blocks have a bias of 0.See Multiplication Data Types for illustrations depicting the use of the product output.

**Accumulator**Use this parameter to specify how you would like to designate the accumulator word and fraction lengths.

When you select

`Same as product output`

the characteristics match the characteristics of the product output.When you select

`Binary point scaling`

, you can enter the**Word length**and the**Fraction length**of the accumulator, in bits.When you select

`Slope and bias scaling`

, you can enter the**Word length**, in bits, and the**Slope**of the**Accumulator**. All signals in the Computer Vision System Toolbox software have a bias of 0.See Multiplication Data Types for illustrations depicting the use of the accumulator data type in this block.

**Lock data type settings against change by the fixed-point tools**Select this parameter to prevent the fixed-point tools from overriding the data types you specify on the block mask. For more information, see

`fxptdlg`

, a reference page on the Fixed-Point Tool in the Simulink^{®}documentation.

The following figure shows Line 1 intersecting the boundaries
of the reference image at [`(x`

]
and Line 2 intersecting the boundaries at [_{11}, y_{11})
(x_{12}, y_{12})`(x`

] _{21},
y_{21}) (x_{22}, y_{22})

See Detect Lines in Images in the *Computer
Vision System Toolbox User
Guide*.

Computer Vision System Toolbox | |

Computer Vision System Toolbox |