Struct opencv::features2d::SimpleBlobDetector

pub struct SimpleBlobDetector { /* fields omitted */ }

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 () 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

impl SimpleBlobDetector

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

C++ default parameters

• parameters: SimpleBlobDetector::Params()

Trait Implementations

impl AlgorithmTrait for SimpleBlobDetector

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

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

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTraitConst for SimpleBlobDetector

fn as_raw_Algorithm(&self) -> *const c_void

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

Stores algorithm parameters in a file storage

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

simplified API for language bindings Stores algorithm parameters in a file storage

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

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

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).

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.

impl Boxed for SimpleBlobDetector

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

Wrap the specified raw pointer

fn into_raw(self) -> *mut c_void

Return an the underlying raw pointer while consuming this wrapper.

fn as_raw(&self) -> *const c_void

Return the underlying raw pointer.

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

Return the underlying mutable raw pointer

impl Drop for SimpleBlobDetector

fn drop(&mut self)

Executes the destructor for this type.

impl Feature2DTrait for SimpleBlobDetector

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

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

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

fn detect_multiple(
    &mut self,
    images: &dyn ToInputArray,
    keypoints: &mut Vector<Vector<KeyPoint>>,
    masks: &dyn ToInputArray
) -> Result<()>

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

fn compute(
    &mut self,
    image: &dyn ToInputArray,
    keypoints: &mut Vector<KeyPoint>,
    descriptors: &mut dyn ToOutputArray
) -> Result<()>

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

fn compute_multiple(
    &mut self,
    images: &dyn ToInputArray,
    keypoints: &mut Vector<Vector<KeyPoint>>,
    descriptors: &mut dyn ToOutputArray
) -> Result<()>

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

fn detect_and_compute(
    &mut self,
    image: &dyn ToInputArray,
    mask: &dyn ToInputArray,
    keypoints: &mut Vector<KeyPoint>,
    descriptors: &mut dyn ToOutputArray,
    use_provided_keypoints: bool
) -> Result<()>

Detects keypoints and computes the descriptors

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

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

impl Feature2DTraitConst for SimpleBlobDetector

fn as_raw_Feature2D(&self) -> *const c_void

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

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

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

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

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

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

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

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

C++ default parameters

impl From<SimpleBlobDetector> for Algorithm

fn from(s: SimpleBlobDetector) -> Self

Performs the conversion.

impl From<SimpleBlobDetector> for Feature2D

fn from(s: SimpleBlobDetector) -> Self

Performs the conversion.

impl SimpleBlobDetectorTrait for SimpleBlobDetector

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

impl SimpleBlobDetectorTraitConst for SimpleBlobDetector

fn as_raw_SimpleBlobDetector(&self) -> *const c_void

fn get_default_name(&self) -> Result<String>

impl TryFrom<Feature2D> for SimpleBlobDetector

type Error = Error

The type returned in the event of a conversion error.

fn try_from(s: Feature2D) -> Result<Self>

Performs the conversion.

impl Send for SimpleBlobDetector