@spec compute(t(), [Evision.Mat.maybe_mat_in()], [[Evision.KeyPoint.t()]]) ::
  {[[Evision.KeyPoint.t()]], [Evision.Mat.t()]} | {:error, String.t()}

@spec compute(t(), Evision.Mat.maybe_mat_in(), [Evision.KeyPoint.t()]) ::
  {[Evision.KeyPoint.t()], Evision.Mat.t()} | {:error, String.t()}

Variant 1:

compute

Positional Arguments

• self: Evision.MSER.t()

• images: [Evision.Mat].

  Image set.

Return

• keypoints: [[Evision.KeyPoint]].

  Input collection of keypoints. Keypoints for which a descriptor cannot be computed are removed. Sometimes new keypoints can be added, for example: SIFT duplicates keypoint with several dominant orientations (for each orientation).

• descriptors: [Evision.Mat].

  Computed descriptors. In the second variant of the method descriptors[i] are descriptors computed for a keypoints[i]. Row j is the keypoints (or keypoints[i]) is the descriptor for keypoint j-th keypoint.

Has overloading in C++

Python prototype (for reference only):

compute(images, keypoints[, descriptors]) -> keypoints, descriptors

Variant 2:

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

Positional Arguments

• self: Evision.MSER.t()

• image: Evision.Mat.

  Image.

Return

• keypoints: [Evision.KeyPoint].

  Input collection of keypoints. Keypoints for which a descriptor cannot be computed are removed. Sometimes new keypoints can be added, for example: SIFT duplicates keypoint with several dominant orientations (for each orientation).

• descriptors: Evision.Mat.t().

  Computed descriptors. In the second variant of the method descriptors[i] are descriptors computed for a keypoints[i]. Row j is the keypoints (or keypoints[i]) is the descriptor for keypoint j-th keypoint.

Python prototype (for reference only):

compute(image, keypoints[, descriptors]) -> keypoints, descriptors

@spec compute(
  t(),
  [Evision.Mat.maybe_mat_in()],
  [[Evision.KeyPoint.t()]],
  [{atom(), term()}, ...] | nil
) :: {[[Evision.KeyPoint.t()]], [Evision.Mat.t()]} | {:error, String.t()}

@spec compute(
  t(),
  Evision.Mat.maybe_mat_in(),
  [Evision.KeyPoint.t()],
  [{atom(), term()}, ...] | nil
) ::
  {[Evision.KeyPoint.t()], Evision.Mat.t()} | {:error, String.t()}

Variant 1:

compute

Positional Arguments

• self: Evision.MSER.t()

• images: [Evision.Mat].

  Image set.

Return

• keypoints: [[Evision.KeyPoint]].

  Input collection of keypoints. Keypoints for which a descriptor cannot be computed are removed. Sometimes new keypoints can be added, for example: SIFT duplicates keypoint with several dominant orientations (for each orientation).

• descriptors: [Evision.Mat].

  Computed descriptors. In the second variant of the method descriptors[i] are descriptors computed for a keypoints[i]. Row j is the keypoints (or keypoints[i]) is the descriptor for keypoint j-th keypoint.

Has overloading in C++

Python prototype (for reference only):

compute(images, keypoints[, descriptors]) -> keypoints, descriptors

Variant 2:

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

Positional Arguments

• self: Evision.MSER.t()

• image: Evision.Mat.

  Image.

Return

• keypoints: [Evision.KeyPoint].

  Input collection of keypoints. Keypoints for which a descriptor cannot be computed are removed. Sometimes new keypoints can be added, for example: SIFT duplicates keypoint with several dominant orientations (for each orientation).

• descriptors: Evision.Mat.t().

  Computed descriptors. In the second variant of the method descriptors[i] are descriptors computed for a keypoints[i]. Row j is the keypoints (or keypoints[i]) is the descriptor for keypoint j-th keypoint.

Python prototype (for reference only):

compute(image, keypoints[, descriptors]) -> keypoints, descriptors

@spec create() :: t() | {:error, String.t()}

Full constructor for %MSER detector

Keyword Arguments

• delta: integer().

  it compares \f$(size_{i}-size_{i-delta})/size_{i-delta}\f$

• min_area: integer().

  prune the area which smaller than minArea

• max_area: integer().

  prune the area which bigger than maxArea

• max_variation: double.

  prune the area have similar size to its children

• min_diversity: double.

  for color image, trace back to cut off mser with diversity less than min_diversity

• max_evolution: integer().

  for color image, the evolution steps

• area_threshold: double.

  for color image, the area threshold to cause re-initialize

• min_margin: double.

  for color image, ignore too small margin

• edge_blur_size: integer().

  for color image, the aperture size for edge blur

Return

• retval: Evision.MSER.t()

Python prototype (for reference only):

create([, delta[, min_area[, max_area[, max_variation[, min_diversity[, max_evolution[, area_threshold[, min_margin[, edge_blur_size]]]]]]]]]) -> retval

@spec create(Keyword.t()) :: any() | {:error, String.t()}

@spec create(
  [
    area_threshold: term(),
    delta: term(),
    edge_blur_size: term(),
    max_area: term(),
    max_evolution: term(),
    max_variation: term(),
    min_area: term(),
    min_diversity: term(),
    min_margin: term()
  ]
  | nil
) :: t() | {:error, String.t()}

Full constructor for %MSER detector

Keyword Arguments

• delta: integer().

  it compares \f$(size_{i}-size_{i-delta})/size_{i-delta}\f$

• min_area: integer().

  prune the area which smaller than minArea

• max_area: integer().

  prune the area which bigger than maxArea

• max_variation: double.

  prune the area have similar size to its children

• min_diversity: double.

  for color image, trace back to cut off mser with diversity less than min_diversity

• max_evolution: integer().

  for color image, the evolution steps

• area_threshold: double.

  for color image, the area threshold to cause re-initialize

• min_margin: double.

  for color image, ignore too small margin

• edge_blur_size: integer().

  for color image, the aperture size for edge blur

Return

• retval: Evision.MSER.t()

Python prototype (for reference only):

create([, delta[, min_area[, max_area[, max_variation[, min_diversity[, max_evolution[, area_threshold[, min_margin[, edge_blur_size]]]]]]]]]) -> retval

@spec defaultNorm(Keyword.t()) :: any() | {:error, String.t()}

@spec defaultNorm(t()) :: integer() | {:error, String.t()}

defaultNorm

Positional Arguments

• self: Evision.MSER.t()

Return

• retval: integer()

Python prototype (for reference only):

defaultNorm() -> retval

@spec descriptorSize(Keyword.t()) :: any() | {:error, String.t()}

@spec descriptorSize(t()) :: integer() | {:error, String.t()}

descriptorSize

Positional Arguments

• self: Evision.MSER.t()

Return

• retval: integer()

Python prototype (for reference only):

descriptorSize() -> retval

@spec descriptorType(Keyword.t()) :: any() | {:error, String.t()}

@spec descriptorType(t()) :: integer() | {:error, String.t()}

descriptorType

Positional Arguments

• self: Evision.MSER.t()

Return

• retval: integer()

Python prototype (for reference only):

descriptorType() -> retval

@spec detect(t(), [Evision.Mat.maybe_mat_in()]) ::
  [[Evision.KeyPoint.t()]] | {:error, String.t()}

@spec detect(t(), Evision.Mat.maybe_mat_in()) ::
  [Evision.KeyPoint.t()] | {:error, String.t()}

Variant 1:

detect

Positional Arguments

• self: Evision.MSER.t()

• images: [Evision.Mat].

  Image set.

Keyword Arguments

• masks: [Evision.Mat].

  Masks for each input image specifying where to look for keypoints (optional). masks[i] is a mask for images[i].

Return

• keypoints: [[Evision.KeyPoint]].

  The detected keypoints. In the second variant of the method keypoints[i] is a set of keypoints detected in images[i] .

Has overloading in C++

Python prototype (for reference only):

detect(images[, masks]) -> keypoints

Variant 2:

Detects keypoints in an image (first variant) or image set (second variant).

Positional Arguments

• self: Evision.MSER.t()

• image: Evision.Mat.

  Image.

Keyword Arguments

• mask: Evision.Mat.

  Mask specifying where to look for keypoints (optional). It must be a 8-bit integer matrix with non-zero values in the region of interest.

Return

• keypoints: [Evision.KeyPoint].

  The detected keypoints. In the second variant of the method keypoints[i] is a set of keypoints detected in images[i] .

Python prototype (for reference only):

detect(image[, mask]) -> keypoints

@spec detect(t(), [Evision.Mat.maybe_mat_in()], [{:masks, term()}] | nil) ::
  [[Evision.KeyPoint.t()]] | {:error, String.t()}

@spec detect(t(), Evision.Mat.maybe_mat_in(), [{:mask, term()}] | nil) ::
  [Evision.KeyPoint.t()] | {:error, String.t()}

Variant 1:

detect

Positional Arguments

• self: Evision.MSER.t()

• images: [Evision.Mat].

  Image set.

Keyword Arguments

• masks: [Evision.Mat].

  Masks for each input image specifying where to look for keypoints (optional). masks[i] is a mask for images[i].

Return

• keypoints: [[Evision.KeyPoint]].

  The detected keypoints. In the second variant of the method keypoints[i] is a set of keypoints detected in images[i] .

Has overloading in C++

Python prototype (for reference only):

detect(images[, masks]) -> keypoints

Variant 2:

Detects keypoints in an image (first variant) or image set (second variant).

Positional Arguments

• self: Evision.MSER.t()

• image: Evision.Mat.

  Image.

Keyword Arguments

• mask: Evision.Mat.

  Mask specifying where to look for keypoints (optional). It must be a 8-bit integer matrix with non-zero values in the region of interest.

Return

• keypoints: [Evision.KeyPoint].

  The detected keypoints. In the second variant of the method keypoints[i] is a set of keypoints detected in images[i] .

Python prototype (for reference only):

detect(image[, mask]) -> keypoints

@spec detectAndCompute(t(), Evision.Mat.maybe_mat_in(), Evision.Mat.maybe_mat_in()) ::
  {[Evision.KeyPoint.t()], Evision.Mat.t()} | {:error, String.t()}

detectAndCompute

Positional Arguments

• self: Evision.MSER.t()
• image: Evision.Mat
• mask: Evision.Mat

Keyword Arguments

• useProvidedKeypoints: bool.

Return

• keypoints: [Evision.KeyPoint]
• descriptors: Evision.Mat.t().

Detects keypoints and computes the descriptors

Python prototype (for reference only):

detectAndCompute(image, mask[, descriptors[, useProvidedKeypoints]]) -> keypoints, descriptors

@spec detectAndCompute(
  t(),
  Evision.Mat.maybe_mat_in(),
  Evision.Mat.maybe_mat_in(),
  [{:useProvidedKeypoints, term()}] | nil
) :: {[Evision.KeyPoint.t()], Evision.Mat.t()} | {:error, String.t()}

detectAndCompute

Positional Arguments

• self: Evision.MSER.t()
• image: Evision.Mat
• mask: Evision.Mat

Keyword Arguments

• useProvidedKeypoints: bool.

Return

• keypoints: [Evision.KeyPoint]
• descriptors: Evision.Mat.t().

Detects keypoints and computes the descriptors

Python prototype (for reference only):

detectAndCompute(image, mask[, descriptors[, useProvidedKeypoints]]) -> keypoints, descriptors

@spec detectRegions(t(), Evision.Mat.maybe_mat_in()) ::
  {[[{number(), number()}]], [{number(), number(), number(), number()}]}
  | {:error, String.t()}

Detect %MSER regions

Positional Arguments

• self: Evision.MSER.t()

• image: Evision.Mat.

  input image (8UC1, 8UC3 or 8UC4, must be greater or equal than 3x3)

Return

• msers: [[Point]].

  resulting list of point sets

• bboxes: [Rect].

  resulting bounding boxes

Python prototype (for reference only):

detectRegions(image) -> msers, bboxes

@spec empty(Keyword.t()) :: any() | {:error, String.t()}

@spec empty(t()) :: boolean() | {:error, String.t()}

empty

Positional Arguments

• self: Evision.MSER.t()

Return

• retval: bool

Python prototype (for reference only):

empty() -> retval

@spec getAreaThreshold(Keyword.t()) :: any() | {:error, String.t()}

@spec getAreaThreshold(t()) :: number() | {:error, String.t()}

getAreaThreshold

Positional Arguments

• self: Evision.MSER.t()

Return

• retval: double

Python prototype (for reference only):

getAreaThreshold() -> retval

@spec getDefaultName(Keyword.t()) :: any() | {:error, String.t()}

@spec getDefaultName(t()) :: binary() | {:error, String.t()}

getDefaultName

Positional Arguments

• self: Evision.MSER.t()

Return

• retval: String

Python prototype (for reference only):

getDefaultName() -> retval

@spec getDelta(Keyword.t()) :: any() | {:error, String.t()}

@spec getDelta(t()) :: integer() | {:error, String.t()}

getDelta

Positional Arguments

• self: Evision.MSER.t()

Return

• retval: integer()

Python prototype (for reference only):

getDelta() -> retval

@spec getEdgeBlurSize(Keyword.t()) :: any() | {:error, String.t()}

@spec getEdgeBlurSize(t()) :: integer() | {:error, String.t()}

getEdgeBlurSize

Positional Arguments

• self: Evision.MSER.t()

Return

• retval: integer()

Python prototype (for reference only):

getEdgeBlurSize() -> retval

@spec getMaxArea(Keyword.t()) :: any() | {:error, String.t()}

@spec getMaxArea(t()) :: integer() | {:error, String.t()}

getMaxArea

Positional Arguments

• self: Evision.MSER.t()

Return

• retval: integer()

Python prototype (for reference only):

getMaxArea() -> retval

@spec getMaxEvolution(Keyword.t()) :: any() | {:error, String.t()}

@spec getMaxEvolution(t()) :: integer() | {:error, String.t()}

getMaxEvolution

Positional Arguments

• self: Evision.MSER.t()

Return

• retval: integer()

Python prototype (for reference only):

getMaxEvolution() -> retval

@spec getMaxVariation(Keyword.t()) :: any() | {:error, String.t()}

@spec getMaxVariation(t()) :: number() | {:error, String.t()}

getMaxVariation

Positional Arguments

• self: Evision.MSER.t()

Return

• retval: double

Python prototype (for reference only):

getMaxVariation() -> retval

@spec getMinArea(Keyword.t()) :: any() | {:error, String.t()}

@spec getMinArea(t()) :: integer() | {:error, String.t()}

getMinArea

Positional Arguments

• self: Evision.MSER.t()

Return

• retval: integer()

Python prototype (for reference only):

getMinArea() -> retval

@spec getMinDiversity(Keyword.t()) :: any() | {:error, String.t()}

@spec getMinDiversity(t()) :: number() | {:error, String.t()}

getMinDiversity

Positional Arguments

• self: Evision.MSER.t()

Return

• retval: double

Python prototype (for reference only):

getMinDiversity() -> retval

@spec getMinMargin(Keyword.t()) :: any() | {:error, String.t()}

@spec getMinMargin(t()) :: number() | {:error, String.t()}

getMinMargin

Positional Arguments

• self: Evision.MSER.t()

Return

• retval: double

Python prototype (for reference only):

getMinMargin() -> retval

@spec getPass2Only(Keyword.t()) :: any() | {:error, String.t()}

@spec getPass2Only(t()) :: boolean() | {:error, String.t()}

getPass2Only

Positional Arguments

• self: Evision.MSER.t()

Return

• retval: bool

Python prototype (for reference only):

getPass2Only() -> retval

@spec read(t(), Evision.FileNode.t()) :: t() | {:error, String.t()}

@spec read(t(), binary()) :: t() | {:error, String.t()}

Variant 1:

read

Positional Arguments

• self: Evision.MSER.t()
• arg1: Evision.FileNode

Python prototype (for reference only):

read(arg1) -> None

Variant 2:

read

Positional Arguments

• self: Evision.MSER.t()
• fileName: String

Python prototype (for reference only):

read(fileName) -> None

@spec setAreaThreshold(t(), number()) :: t() | {:error, String.t()}

setAreaThreshold

Positional Arguments

• self: Evision.MSER.t()
• areaThreshold: double

Python prototype (for reference only):

setAreaThreshold(areaThreshold) -> None

@spec setDelta(t(), integer()) :: t() | {:error, String.t()}

setDelta

Positional Arguments

• self: Evision.MSER.t()
• delta: integer()

Python prototype (for reference only):

setDelta(delta) -> None

@spec setEdgeBlurSize(t(), integer()) :: t() | {:error, String.t()}

setEdgeBlurSize

Positional Arguments

• self: Evision.MSER.t()
• edge_blur_size: integer()

Python prototype (for reference only):

setEdgeBlurSize(edge_blur_size) -> None

@spec setMaxArea(t(), integer()) :: t() | {:error, String.t()}

setMaxArea

Positional Arguments

• self: Evision.MSER.t()
• maxArea: integer()

Python prototype (for reference only):

setMaxArea(maxArea) -> None

@spec setMaxEvolution(t(), integer()) :: t() | {:error, String.t()}

setMaxEvolution

Positional Arguments

• self: Evision.MSER.t()
• maxEvolution: integer()

Python prototype (for reference only):

setMaxEvolution(maxEvolution) -> None

@spec setMaxVariation(t(), number()) :: t() | {:error, String.t()}

setMaxVariation

Positional Arguments

• self: Evision.MSER.t()
• maxVariation: double

Python prototype (for reference only):

setMaxVariation(maxVariation) -> None

@spec setMinArea(t(), integer()) :: t() | {:error, String.t()}

setMinArea

Positional Arguments

• self: Evision.MSER.t()
• minArea: integer()

Python prototype (for reference only):

setMinArea(minArea) -> None

@spec setMinDiversity(t(), number()) :: t() | {:error, String.t()}

setMinDiversity

Positional Arguments

• self: Evision.MSER.t()
• minDiversity: double

Python prototype (for reference only):

setMinDiversity(minDiversity) -> None

@spec setMinMargin(t(), number()) :: t() | {:error, String.t()}

setMinMargin

Positional Arguments

• self: Evision.MSER.t()
• min_margin: double

Python prototype (for reference only):

setMinMargin(min_margin) -> None

@spec setPass2Only(t(), boolean()) :: t() | {:error, String.t()}

setPass2Only

Positional Arguments

• self: Evision.MSER.t()
• f: bool

Python prototype (for reference only):

setPass2Only(f) -> None

@spec write(t(), binary()) :: t() | {:error, String.t()}

write

Positional Arguments

• self: Evision.MSER.t()
• fileName: String

Python prototype (for reference only):

write(fileName) -> None

@spec write(t(), Evision.FileStorage.t(), binary()) :: t() | {:error, String.t()}

write

Positional Arguments

• self: Evision.MSER.t()
• fs: Evision.FileStorage
• name: String

Python prototype (for reference only):

write(fs, name) -> None