Halcon Learning Notes -- Image, Region, XLD Preliminary

Three ways of reading:


Read_image (image,'filename')//image is the output object, followed by the path and name of the input file

Read multiple images:

1. Declare an array and save paths separately


ImagePath:=[]

ImagePath [0]: ='D:/1.bmp'

ImagePath [1]: ='D:/2.bmp'

ImagePath [2]: ='D:/3.bmp'

For i:= 0 to 2 by 1

Read_image (Image, Image Path [i])

Endfor

2, for loop


For i:= 1 to 3 by 1

Read_image (Image,'D:/'+'i'+'.bmp')

Endfor

3. Read all files in the directory

Assistant, open the image, select the path, insert the code


List_files (input file directory address, selection requirements (files specify selection file format, recursive recursion, in-depth all, derectories select folders, follow_links, max_depth 5...), output list of selected files)

Select a rule-compliant tuple, where\ is an escape, equivalent to'-->'

Tuple_regexp_select (file name, ['\\. (bmp | tif) $','ignore_case ignores case'], output)

Fabric file path


Two Image Variable Region

Pretreatment:


Denoising Mean_image/binomial_filter

Suppression of small spots or fine lines median_image

Smoothing smooth_image

Save edge smoothness anisotropic_diffusion


Variable Region:

Region is a subset of some required pixels, or some selected block areas s. The size of region is not limited by image. There are filling and margin expressions, similar to run-length coding, which can be used for compression. eg: a2b3c4 is used to represent aabbbcccc.


Region operation:

Select the appropriate area


Select_shape (regions, output,'select type',... Requirements)

Calculate the area of the corresponding area, central coordinates:


Area_center (regions, areas, row, column)

Conversion of irregular regions:


Shape_trans (region, region trans, type)

Image


Convex hull convex surround (from outside to inside)


Outer_circle outer circle (can include the circle with the smallest radius of the object)

Inner_circle inner circle

Rectangle 1 rectangle

Rectangle 2 minimum bounding rectangle

Inn_rectangle 1 Maximum Inner Rectangle

Three-graph variable XLD (eXtended Line Descriptions)

XLD represents sub-pixel contours or polygons

Threshold_sub_pix (input image, output, requirement)

Gen_contour_region_xld (input region, output,...)

XLD selection operation (select_shape_xld/selet_contours_xld):

Select_shape_xld (XLD: Selected XLD: Features, Operation, Min, Max:)

Select_contours_xld (Contours: Selected Contours: Feature, Min1, Max1, Min2, Max2:)

Calculate the area and center position of xld:


Area_center_xld (XLD::: Area, row, column, pointOrder)

Merge operation of xld:

Union_colliner_contours_xld: XLD combined with the same line

Union_cocircular_contours_xld: merging XLD of the same circle

Union_adjacent_contours_xld: Merge adjacent xlds

The transformation operation of XLD is similar to that of region:


Shape_trans_xld (XLD: XLDTrans: Type:)

There are several types above.

Segmentation operation of Xld (segment_contours_xld)

Divide the initial XLD into straight lines, straight lines and circles, straight lines and ellipses

Segment_contours_xld (Contours: ContoursSplit: Mode, SmoothCont, MaxLineDist1, MaxLineDist2:)

Image

The fitting operation of Xld (fit_***_contour_xld) completes the fitting of incomplete shapes

Fit_line_contour_xld

Fit_circle_contour_xld

Fit_ellipse_contour_xld

Fit_rectangle2_contour_xld

Summary:

Image and Video, File Reading

Preliminary Introduction to Region and XLD

Be careful:

The result extracted by edges_sub_pix is not always a complete circle, and it needs union to integrate the whole circle.


Originally from Burning_foot's blog

Author: Han Zhaoxin

Origin: http://hanzhaoxin.cnblogs.com/

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