KR100258328B1 - Method for selecting region of picture editing device - Google Patents

Abstract

PURPOSE: A method for selecting a region of an image editing device is provided to perform an edge detecting operation by using starting points and end points displaying determined divided regions, and to detect images of the divided regions. Therefore, a region selection processing time can be abbreviated. Also, a correct region selection can be performed. CONSTITUTION: A starting point and an end point are stored in a node buffer(30A) of a region selecting processor(30). An edge detector(30B) decides a processing direction for an outline of a quadrangle region. The edge detector(30B) detects edges of the processing direction. The edge detector(30B) connects the detect edges. An end point of the last edge becomes a starting point of the next divided region. A region selected by the region selecting processor(30) is stored in an output image memory(50), and outputted to an image outputting unit(60).

Description

Area Selection Method of Image Editing Device

1 is a block diagram for the implementation of the region selection method according to the present invention.

2 is a view for explaining the principle of selecting an area according to the present invention.

3 is an operational flowchart of a region selection method according to the present invention.

* Explanation of symbols for main parts of the drawings

10: input image memory 20: area selector

30: region selection processing unit 40: central processing unit

40: output image memory 60: image output unit

The present invention relates to an image editing apparatus, and in particular, to a method of selecting an area for processing.

A typical image editing apparatus is provided with tools for selecting a region to be processed. According to the conventional area selection method, the editor selects and enlarges an area for processing in a unit that can be visually identified and draws the outline of the area with a pointing device such as a mouse, which is a representative tool for area selection.

According to the conventional region selection method, there is a problem in that it takes a considerable time to process the region selection because the editor must draw the outline of the discernible form one by one. In addition, there is a problem in that the accuracy of region selection is degraded for regions that are difficult for the editor to visually identify.

It is therefore an object of the present invention to provide a region selection method of an image editing apparatus that shortens the time required for processing of region selection for processing.

Another object of the present invention is to provide a region selection method of an image editing apparatus for improving the accuracy of region selection for processing.

According to the above object, the present invention divides the area for processing into a plurality of areas having a suitable distance, extracts each boundary of the divided plurality of areas, and uses an edge detection algorithm to extract the image within the extracted boundary. This is towards the area selection method to make this connection.

In addition, the region selection method according to the present invention includes an input point checking process for confirming that a predetermined start point and an end point indicating a divided region of a region for processing are input, an input point checking process for confirming that the input start point and the end point are input; And an outline moving direction determining process for determining a direction in which an outline goes in a rectangular area formed diagonally with the input start point and an end point, and an image in the formed rectangular area using an edge detection algorithm according to the determined direction of the outline. Characterized in that the image detection process for detecting the.

DETAILED DESCRIPTION A detailed description of preferred embodiments of the present invention will now be described with reference to the accompanying drawings.

Referring to FIG. 1 showing a configuration of an image editing apparatus for implementing an area selection method according to the present invention, the input image memory 10 is input from an image input unit (not shown) composed of a scanner, a camera, or the like. It is a memory having a two-dimensional area for storing an image.

The area selector 20 is mainly used as a tool for selecting an area for processing, and a start point and an end point representing one division area of an area for processing are input by an editor. In this case, as shown in FIG. 2, a point on or near the boundary of the area of a suitable distance from the starting point is selected and input. Here, the appropriate distance means the distance between the area boundary in the rectangle consisting of the starting point and the end point is mainly up to the distance consisting of either the right or left lower direction of the diagonal, the end point does not necessarily have to be on the boundary of the desired area.

The start point and the end point input through the area selection unit 20 are stored in the node buffer 30A of the area selection processing unit 40 in step (100) of FIG. In step 110 of FIG. 3, the edge detector 30B determines a traveling direction with respect to the outline of the rectangular area formed by diagonally starting and ending points stored in the node buffer 30A. At this time, the traveling direction with respect to the outer mountain of the rectangular area formed diagonally with the start point and the end point as shown in FIG. 2 is the right downward direction.

Next, the edge detector 30B detects an edge in the advancing direction with respect to the outline of the determined rectangular area by using an edge detection algorithm in step 120. Since the advancing direction of the outline determined in step 110 is in the lower right direction, the edge detector 30B detects the edge by applying a matrix to find the vertical and horizontal edges and the Laplace matrix in general. FIG. 2B shows a case where the corners thus detected are five (E1 to E5). This corner detection algorithm is described in detail under pages 28 and 29 of the book "Computer Graphics" published by Addison Wesley in 1990.

In operation 130, the edge detector 30B connects the five detected edges E1 to E5 as shown in FIG. 2B, and in step 140, the edge detection unit 30B connects the end point of the last edge E5 to the next divided region. Is the starting point. In step 140, the end point of the last edge E5 is used as the start point of the next partition. After the completion of the step 140, the process proceeds to the step 100 again to the step 100 to repeatedly perform the edge detection for the next divided region. This operation is repeatedly performed until the end point of the last corner is determined to be the end of the area determined to be the same as the start point of the first divided area in step 150.

The area selected by the area selection processing unit 30 is stored in the output image memory 50 having a two-dimensional area and then output to the image output unit 70 constituted by a printer or the like. The central processing unit 50 controls the overall operation of the area selection method of the image editing apparatus as shown in FIG.

As described above, the edge detection operation is performed by using a start point and an end point indicating a predetermined divided area among the areas for selection input from the editor, compared to the method in which the editor follows the outline of the form. This has the advantage of reducing the time required.

In addition, there is an advantage that the area can be selected more accurately than the case of detecting an image in the form of one by using a mouse by detecting an image in the area divided by the calculation.

Claims (3)

A region selection method of an image editing apparatus, comprising: an area division process of dividing an area for processing into a plurality of areas according to an advancing direction of an outline, and repetitively dividing each image in the divided areas using an edge detection algorithm An area selection method comprising: an image detection process for detecting. In the region selection method of the image editing apparatus, a process of confirming input of a predetermined start point and an end point indicating a divided area of an area for processing is performed, and an outline in a rectangular area formed diagonally with the input start point and end point. And an image detection process of detecting an image in the rectangular area by using an edge advancement direction determining step for determining a moving direction and an edge detection algorithm according to the determined moving direction of the outline. The method of claim 2, wherein the image detection process comprises: an edge detection process of detecting a plurality of edges included in the rectangular area by using an edge detection algorithm according to the determined direction of the outline, and a plurality of detected edges. And a corner connecting process for detecting an image in the rectangular area formed by the connecting.