pub struct SimpleBlobDetector { /* private fields */ }
Expand description

Class for extracting blobs from an image. :

The class implements a simple algorithm for extracting blobs from an image:

  1. Convert the source image to binary images by applying thresholding with several thresholds from minThreshold (inclusive) to maxThreshold (exclusive) with distance thresholdStep between neighboring thresholds.
  2. Extract connected components from every binary image by findContours and calculate their centers.
  3. Group centers from several binary images by their coordinates. Close centers form one group that corresponds to one blob, which is controlled by the minDistBetweenBlobs parameter.
  4. From the groups, estimate final centers of blobs and their radiuses and return as locations and sizes of keypoints.

This class performs several filtrations of returned blobs. You should set filterBy* to true/false to turn on/off corresponding filtration. Available filtrations:

  • By color. This filter compares the intensity of a binary image at the center of a blob to blobColor. If they differ, the blob is filtered out. Use blobColor = 0 to extract dark blobs and blobColor = 255 to extract light blobs.
  • By area. Extracted blobs have an area between minArea (inclusive) and maxArea (exclusive).
  • By circularity. Extracted blobs have circularity (inline formula) between minCircularity (inclusive) and maxCircularity (exclusive).
  • By ratio of the minimum inertia to maximum inertia. Extracted blobs have this ratio between minInertiaRatio (inclusive) and maxInertiaRatio (exclusive).
  • By convexity. Extracted blobs have convexity (area / area of blob convex hull) between minConvexity (inclusive) and maxConvexity (exclusive).

Default values of parameters are tuned to extract dark circular blobs.

Implementations§

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impl SimpleBlobDetector

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pub fn create( parameters: SimpleBlobDetector_Params ) -> Result<Ptr<SimpleBlobDetector>>

C++ default parameters
  • parameters: SimpleBlobDetector::Params()

Trait Implementations§

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impl AlgorithmTrait for SimpleBlobDetector

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fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

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fn clear(&mut self) -> Result<()>

Clears the algorithm state
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fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage
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impl AlgorithmTraitConst for SimpleBlobDetector

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fn as_raw_Algorithm(&self) -> *const c_void

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fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage
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fn write_1(&self, fs: &mut FileStorage, name: &str) -> Result<()>

Stores algorithm parameters in a file storage Read more
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fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated Read more
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fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read
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fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).
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fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.
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impl Boxed for SimpleBlobDetector

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unsafe fn from_raw(ptr: *mut c_void) -> Self

Wrap the specified raw pointer Read more
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fn into_raw(self) -> *mut c_void

Return an the underlying raw pointer while consuming this wrapper. Read more
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fn as_raw(&self) -> *const c_void

Return the underlying raw pointer. Read more
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fn as_raw_mut(&mut self) -> *mut c_void

Return the underlying mutable raw pointer Read more
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impl Drop for SimpleBlobDetector

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fn drop(&mut self)

Executes the destructor for this type. Read more
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impl Feature2DTrait for SimpleBlobDetector

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fn as_raw_mut_Feature2D(&mut self) -> *mut c_void

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fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant). Read more
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fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant). Read more
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fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant). Read more
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fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant). Read more
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fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool ) -> Result<()>

Detects keypoints and computes the descriptors Read more
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fn read(&mut self, file_name: &str) -> Result<()>

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fn read_1(&mut self, unnamed: &FileNode) -> Result<()>

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impl Feature2DTraitConst for SimpleBlobDetector

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fn as_raw_Feature2D(&self) -> *const c_void

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fn descriptor_size(&self) -> Result<i32>

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fn descriptor_type(&self) -> Result<i32>

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fn default_norm(&self) -> Result<i32>

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fn write(&self, file_name: &str) -> Result<()>

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fn write_1(&self, unnamed: &mut FileStorage) -> Result<()>

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fn empty(&self) -> Result<bool>

Return true if detector object is empty
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fn get_default_name(&self) -> Result<String>

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fn write_2(&self, fs: &mut FileStorage, name: &str) -> Result<()>

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fn write_3(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

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impl From<SimpleBlobDetector> for Algorithm

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fn from(s: SimpleBlobDetector) -> Self

Converts to this type from the input type.
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impl From<SimpleBlobDetector> for Feature2D

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fn from(s: SimpleBlobDetector) -> Self

Converts to this type from the input type.
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impl SimpleBlobDetectorTrait for SimpleBlobDetector

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impl SimpleBlobDetectorTraitConst for SimpleBlobDetector

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impl Send for SimpleBlobDetector

Auto Trait Implementations§

Blanket Implementations§

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impl<T> Any for Twhere T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more
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impl<T> Borrow<T> for Twhere T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more
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impl<T> BorrowMut<T> for Twhere T: ?Sized,

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fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more
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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into<U> for Twhere U: From<T>,

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fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<T, U> TryFrom<U> for Twhere U: Into<T>,

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type Error = Infallible

The type returned in the event of a conversion error.
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fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

Performs the conversion.
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impl<T, U> TryInto<U> for Twhere U: TryFrom<T>,

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type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.
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fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

Performs the conversion.