Struct opencv::features2d::SimpleBlobDetector
source · 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:
- 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.
- Extract connected components from every binary image by findContours and calculate their centers.
- 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.
- 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§
source§impl SimpleBlobDetector
impl SimpleBlobDetector
sourcepub fn create(
parameters: SimpleBlobDetector_Params
) -> Result<Ptr<SimpleBlobDetector>>
pub fn create( parameters: SimpleBlobDetector_Params ) -> Result<Ptr<SimpleBlobDetector>>
C++ default parameters
- parameters: SimpleBlobDetector::Params()
Trait Implementations§
source§impl AlgorithmTrait for SimpleBlobDetector
impl AlgorithmTrait for SimpleBlobDetector
source§impl AlgorithmTraitConst for SimpleBlobDetector
impl AlgorithmTraitConst for SimpleBlobDetector
fn as_raw_Algorithm(&self) -> *const c_void
source§fn write(&self, fs: &mut FileStorage) -> Result<()>
fn write(&self, fs: &mut FileStorage) -> Result<()>
Stores algorithm parameters in a file storage
source§fn write_1(&self, fs: &mut FileStorage, name: &str) -> Result<()>
fn write_1(&self, fs: &mut FileStorage, name: &str) -> Result<()>
Stores algorithm parameters in a file storage Read more
source§fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>
fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>
@deprecated Read more
source§fn empty(&self) -> Result<bool>
fn empty(&self) -> Result<bool>
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read
source§fn save(&self, filename: &str) -> Result<()>
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).
source§fn get_default_name(&self) -> Result<String>
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.
source§impl Boxed for SimpleBlobDetector
impl Boxed for SimpleBlobDetector
source§impl Debug for SimpleBlobDetector
impl Debug for SimpleBlobDetector
source§impl Drop for SimpleBlobDetector
impl Drop for SimpleBlobDetector
source§impl Feature2DTrait for SimpleBlobDetector
impl Feature2DTrait for SimpleBlobDetector
fn as_raw_mut_Feature2D(&mut self) -> *mut c_void
source§fn detect(
&mut self,
image: &impl ToInputArray,
keypoints: &mut Vector<KeyPoint>,
mask: &impl ToInputArray
) -> Result<()>
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
source§fn detect_multiple(
&mut self,
images: &impl ToInputArray,
keypoints: &mut Vector<Vector<KeyPoint>>,
masks: &impl ToInputArray
) -> Result<()>
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
source§fn compute(
&mut self,
image: &impl ToInputArray,
keypoints: &mut Vector<KeyPoint>,
descriptors: &mut impl ToOutputArray
) -> Result<()>
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
source§fn compute_multiple(
&mut self,
images: &impl ToInputArray,
keypoints: &mut Vector<Vector<KeyPoint>>,
descriptors: &mut impl ToOutputArray
) -> Result<()>
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
source§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<()>
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
fn read(&mut self, file_name: &str) -> Result<()>
fn read_1(&mut self, unnamed: &FileNode) -> Result<()>
source§impl Feature2DTraitConst for SimpleBlobDetector
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 get_default_name(&self) -> Result<String>
fn write_2(&self, fs: &mut FileStorage, name: &str) -> Result<()>
fn write_3(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>
source§impl From<SimpleBlobDetector> for Algorithm
impl From<SimpleBlobDetector> for Algorithm
source§fn from(s: SimpleBlobDetector) -> Self
fn from(s: SimpleBlobDetector) -> Self
Converts to this type from the input type.
source§impl From<SimpleBlobDetector> for Feature2D
impl From<SimpleBlobDetector> for Feature2D
source§fn from(s: SimpleBlobDetector) -> Self
fn from(s: SimpleBlobDetector) -> Self
Converts to this type from the input type.
source§impl SimpleBlobDetectorTrait for SimpleBlobDetector
impl SimpleBlobDetectorTrait for SimpleBlobDetector
fn as_raw_mut_SimpleBlobDetector(&mut self) -> *mut c_void
fn set_params(&mut self, params: SimpleBlobDetector_Params) -> Result<()>
source§impl SimpleBlobDetectorTraitConst for SimpleBlobDetector
impl SimpleBlobDetectorTraitConst for SimpleBlobDetector
fn as_raw_SimpleBlobDetector(&self) -> *const c_void
fn get_params(&self) -> Result<SimpleBlobDetector_Params>
fn get_default_name(&self) -> Result<String>
fn get_blob_contours(&self) -> Result<Vector<Vector<Point>>>
source§impl TryFrom<Feature2D> for SimpleBlobDetector
impl TryFrom<Feature2D> for SimpleBlobDetector
impl Send for SimpleBlobDetector
Auto Trait Implementations§
impl RefUnwindSafe for SimpleBlobDetector
impl !Sync for SimpleBlobDetector
impl Unpin for SimpleBlobDetector
impl UnwindSafe for SimpleBlobDetector
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more