Perceptual spectrum waterfall of pattern shape recognition algorithm

2016 ◽  
Author(s):  
Wencheng Chen ◽  
Xiangming Wen
Keyword(s):  
Shape Recognition ◽  
Recognition Algorithm ◽  
Pattern Shape

Construction of garment pattern shape information system using image analysis and shape recognition techniques

2016 ◽  
Vol 28 (4) ◽  
pp. 543-555
Author(s):  
Jaewoong Lee ◽  
InHwan Sul
Keyword(s):  
Image Processing ◽  
Shape Matching ◽  
Shape Recognition ◽  
Data Retrieval ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Shape Information ◽  
Content Type ◽  
Pattern Shape ◽  
Shock Graph

Purpose – As an extended work of the previous paper (Sul, 2010), this paper provides a guideline information for an anonymous garment pattern in sewing process. The purpose of this paper is to first, provide garment pattern database. By simply taking pictures of garment patterns, the shape database is constructed. Once the shape database is prepared, data retrieval can be done by image indexing, i.e., simply inserting garment pattern boundary shape again to the database. Using shock graph methodology, the pattern sets used for database preparation can be exactly retrieved. Second, to find the nearest shape of a given input pattern shape in the database. If the input garment pattern shape does not exist in the database, the shape matching algorithm provides the next similar pattern data. The user, who is assumed to be non-expert in garment sewing process, can easily predict the position and combination information of various patterns. Design/methodology/approach – Image processing is used to construct the garment pattern shape database. The boundary shapes are extracted from the photographs of garment patterns and their shape recognition information, especially shock graph, is also recorded for later pattern data retrieval. Findings – Using the image processing technique, garment patterns can be converted to electronic format easily. Also the prepared pattern database can be used for finding the nearest shape of an additional given input garment pattern. Patterns with irregular shapes were retrieved easily, while those with a simple shape, such as rectangle, showed a little erroneous result. Originality/value – Shape recognition has been adopted in various industrial areas, except for garment sewing process. Using the provided methodology, garment pattern shapes can be easily saved and retrieved only by taking pictures of them.

Implementation and Comparison of a Fast Shape Recognition Algorithm using Different FPGA Platforms

2019 ◽  
Author(s):  
Andre Borja ◽  
Guillaume Varengues ◽  
Luis-Miguel Procel ◽  
Lionel Trojman ◽  
German Arevalo ◽  
...  
Keyword(s):  
Shape Recognition ◽  
Recognition Algorithm

scholarly journals Robotic Pick and Place Using Two-Finger Touch Sensing

2019 ◽  
Vol 8 (9) ◽  
pp. 70-77
Keyword(s):  
Shape Recognition ◽  
Recognition Algorithm ◽  
Pick And Place ◽  
Finger Touch ◽  
Multiple Scenarios ◽  
Usual Position

Pick and place robots are gaining popularity in the current era due to their ability to handle objects of varying sizes and dimensions. Research to improve the efficiency and design of these manipulators is currently the need of the hour. In this, a new and novel mechanism has been introduced; it is called Blind man Mechanism that is to find the object and to find shape of it. Shape Recognition algorithm to improve the hold on the object. It involves analysis of working of the human thumb and shape of the object. The Blind man mechanism allows object to be found, even when it is not in its usual position. It includes details about the thumb analysis to find an object, which further includes shape recognition of different objects in multiple scenarios also results for whether the object has been found or not. If found so verify for a pick place robot using MATLAB results

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