Image🔗
On this topic🔗
Access🔗
get_grayval: Access the gray values of an image object.
get_grayval_contour_xld: Return gray values of an image at the positions of an XLD contour.
get_grayval_interpolated: Return gray values of an image at the positions given by tuples of
rows and columns.
get_image_pointer1: Access the pointer of a channel.
get_image_pointer1_rect: Access to the image data pointer and the image data inside
the smallest rectangle of the domain of the input image.
get_image_pointer3: Access the pointers of a colored image.
get_image_size: Return the size of an image.
get_image_time: Request time at which the image was created.
get_image_type: Return the type of an image.
Acquisition🔗
close_framegrabber: Close specified image acquisition device.
get_framegrabber_callback: Query callback function of an image acquisition device.
get_framegrabber_lut: Query look-up table of the image acquisition device.
get_framegrabber_param: Query specific parameters of an image acquisition device.
grab_data: Synchronous grab of images and preprocessed image data from the specified
image acquisition device.
grab_data_async: Asynchronous grab of images and preprocessed image data from the specified
image acquisition device.
grab_image: Synchronous grab of an image from the specified image acquisition device.
grab_image_async: Asynchronous grab of an image from the specified image acquisition device.
grab_image_start: Start an asynchronous grab from the specified image acquisition device.
info_framegrabber: Query information about the specified image acquisition interface.
open_framegrabber: Open and configure an image acquisition device.
set_framegrabber_callback: Register a callback function for an image acquisition device.
set_framegrabber_lut: Set look-up table of the image acquisition device.
set_framegrabber_param: Set specific parameters of an image acquisition device.
Channel🔗
access_channel: Access a channel of a multi-channel image.
append_channel: Append additional matrices (channels) to the image.
channels_to_image: Convert one-channel images into a multi-channel image
compose2: Convert two images into a two-channel image.
compose3: Convert 3 images into a three-channel image.
compose4: Convert 4 images into a four-channel image.
compose5: Convert 5 images into a five-channel image.
compose6: Convert 6 images into a six-channel image.
compose7: Convert 7 images into a seven-channel image.
count_channels: Count channels of image.
decompose2: Convert a two-channel image into two images.
decompose3: Convert a three-channel image into three images.
decompose4: Convert a four-channel image into four images.
decompose5: Convert a five-channel image into five images.
decompose6: Convert a six-channel image into six images.
decompose7: Convert a seven-channel image into seven images.
image_to_channels: Convert a multi-channel image into One-channel images
Creation🔗
copy_image: Copy an image and allocate new memory for it.
gen_image1: Create an image from a pointer to the pixels.
gen_image1_extern: Create an image from a pointer on the pixels with storage management.
gen_image1_rect: Create an image with a rectangular domain from a pointer on the pixels
(with storage management).
gen_image3: Create an image from three pointers to the pixels (red/green/blue).
gen_image3_extern: Create a three-channel image from three pointers on the pixels with storage
management.
gen_image_const: Create an image with constant gray value.
gen_image_gray_ramp: Create a gray value ramp.
gen_image_interleaved: Create a three-channel image from a pointer to the interleaved pixels.
gen_image_proto: Create an image with a specified constant gray value.
gen_image_surface_first_order: Create a tilted gray surface with first order polynomial.
gen_image_surface_second_order: Create a curved gray surface with second order polynomial.
interleave_channels: Create an interleaved image from a multichannel image.
region_to_bin: Convert a region into a binary byte-image.
region_to_label: Convert regions to a label image.
region_to_mean: Paint regions with their average gray value.
Domain🔗
add_channels: Add gray values to regions.
change_domain: Change definition domain of an image.
full_domain: Expand the domain of an image to maximum.
get_domain: Get the domain of an image.
rectangle1_domain: Reduce the domain of an image to a rectangle.
reduce_domain: Reduce the domain of an image.
Features🔗
area_center_gray: Compute the area and center of gravity of a region in a gray value
image.
cooc_feature_image: Calculate a co-occurrence matrix and derive gray value features thereof.
cooc_feature_matrix: Calculate gray value features from a co-occurrence matrix.
elliptic_axis_gray: Compute the orientation and major axes of a region in a gray value
image.
entropy_gray: Determine the entropy and anisotropy of images.
estimate_noise: Estimate the image noise from a single image.
fit_surface_first_order: Calculate gray value moments and approximation by a first order surface
(plane).
fit_surface_second_order: Calculate gray value moments and approximation by a second order surface.
fuzzy_entropy: Determine the fuzzy entropy of regions.
fuzzy_perimeter: Calculate the fuzzy perimeter of a region.
gen_cooc_matrix: Calculate the co-occurrence matrix of a region in an image.
gray_features: Calculates gray value features for a set of regions.
gray_histo: Calculate the gray value distribution.
gray_histo_abs: Calculate the gray value distribution.
gray_histo_range: Calculate the gray value distribution of a single channel image within a
certain gray value range.
gray_projections: Calculate horizontal and vertical gray-value projections.
histo_2dim: Calculate the histogram of two-channel gray value images.
intensity: Calculate the mean and deviation of gray values.
min_max_gray: Determine the minimum and maximum gray values within regions.
moments_gray_plane: Calculate gray value moments and approximation by a plane.
plane_deviation: Calculate the deviation of the gray values from the approximating
image plane.
select_gray: Select regions based on gray value features.
shape_histo_all: Determine a histogram of features along all threshold values.
shape_histo_point: Determine a histogram of features along all threshold values.
Format🔗
add_image_border: Add a border to an image.
change_format: Change image size.
crop_domain: Cut out of defined gray values.
crop_domain_rel: Cut out an image area relative to the domain.
crop_part: Cut out one or more rectangular image areas.
crop_rectangle1: Cut out one or more rectangular image areas.
crop_rectangle2: Cut out one or more arbitrarily oriented rectangular image areas.
tile_channels: Tile multiple images into a large image.
tile_images: Tile multiple image objects into a large image.
tile_images_offset: Tile multiple image objects into a large image with explicit
positioning information.
Manipulation🔗
overpaint_gray: Overpaint the gray values of an image.
overpaint_region: Overpaint regions in an image.
paint_gray: Paint the gray values of an image into another image.
paint_region: Paint regions into an image.
paint_xld: Paint XLD objects into an image.
set_grayval: Set single gray values in an image.
Type Conversion🔗
complex_to_real: Convert a complex image into two real images.
convert_image_type: Convert the type of an image.
real_to_complex: Convert two real images into a complex image.
real_to_vector_field: Convert two real-valued images into a vector field image.
vector_field_to_real: Convert a vector field image into two real-valued images.