Segmentationπ
On this topicπ
Classificationπ
add_samples_image_class_gmm: Add training samples from an image to the training data of a
Gaussian Mixture Model.
add_samples_image_class_knn: Add training samples from an image to the training data of a
k-Nearest-Neighbor classifier.
add_samples_image_class_mlp: Add training samples from an image to the training data of a
multilayer perceptron.
add_samples_image_class_svm: Add training samples from an image to the training data of a support
vector machine.
class_2dim_sup: Segment an image using two-dimensional pixel classification.
class_2dim_unsup: Segment two images by clustering.
class_ndim_norm: Classify pixels using hyper-spheres or hyper-cubes.
classify_image_class_gmm: Classify an image with a Gaussian Mixture Model.
classify_image_class_knn: Classify an image with a k-Nearest-Neighbor classifier.
classify_image_class_lut: Classify a byte image using a look-up table.
classify_image_class_mlp: Classify an image with a multilayer perceptron.
classify_image_class_svm: Classify an image with a support vector machine.
learn_ndim_norm: Construct classes for class_ndim_norm.
Edgesπ
detect_edge_segments: Detect straight edge segments.
hysteresis_threshold: Perform a hysteresis threshold operation on an image.
nonmax_suppression_amp: Suppress non-maximum points on an edge.
nonmax_suppression_dir: Suppress non-maximum points on an edge using a direction image.
Maximally Stable Extremal Regionsπ
segment_image_mser: Segment image using Maximally Stable Extremal Regions (MSER).
Region Growingπ
expand_gray: Fill gaps between regions (depending on gray value or color) or split
overlapping regions.
expand_gray_ref: Fill gaps between regions (depending on gray value or color) or split
overlapping regions.
regiongrowing: Segment an image using region growing.
regiongrowing_mean: Perform a region growing using mean gray values.
regiongrowing_n: Segment an image using region growing for multi-channel images.
Thresholdπ
auto_threshold: Segment an image using thresholds determined from its histogram.
binary_threshold: Segment an image using binary thresholding.
char_threshold: Perform a threshold segmentation for extracting characters.
check_difference: Compare two images pixel by pixel.
dual_threshold: Threshold operator for signed images.
dyn_threshold: Segment an image using a local threshold.
fast_threshold: Fast thresholding of images using global thresholds.
histo_to_thresh: Determine gray value thresholds from a histogram.
local_threshold: Segment an image using local thresholding.
threshold: Segment an image using global threshold.
threshold_sub_pix: Extract level crossings from an image with subpixel accuracy.
var_threshold: Threshold an image by local mean and standard deviation analysis.
zero_crossing: Extract zero crossings from an image.
zero_crossing_sub_pix: Extract zero crossings from an image with subpixel accuracy.
Topographyπ
critical_points_sub_pix: Subpixel precise detection of critical points in an image.
local_max: Detect all local maxima in an image.
local_max_sub_pix: Subpixel precise detection of local maxima in an image.
local_min: Detect all local minima in an image.
local_min_sub_pix: Subpixel precise detection of local minima in an image.
lowlands: Detect all gray value lowlands.
lowlands_center: Detect the centers of all gray value lowlands.
plateaus: Detect all gray value plateaus.
plateaus_center: Detect the centers of all gray value plateaus.
pouring: Segment an image by βpouring waterβ over it.
saddle_points_sub_pix: Subpixel precise detection of saddle points in an image.
watersheds: Extract watersheds and basins from an image.
watersheds_marker: Extract watersheds and combine basins based on markers.
watersheds_threshold: Extract watershed basins from an image using a threshold.