by SAE International in United States
In the Kmeans cluster segmentation used in traffic scenes, there are often zone optimization and over-segmentation problems caused by the algorithm randomly assigning the initial cluster center. In order to improve the target extraction effect in traffic road scenes, this article proposes an improved Kmeans (IM-Kmeans) method.Firstly, search for the histogram peaks of the whole pixels based on hue, saturation, value (HSV) image, and find the initial cluster centers’ positions and number. Secondly, the noise points which are far away from the center pixel are removed, and then the pixels are classified into the nearest cluster center according to its value. Finally, after the clustering model reaches convergence, the area-clustering method is used for another classification to solve the over-segmentation problem.The simulation and experimental comparisons show that the IM-Kmeans algorithm has higher clustering accuracy than the traditional Kmeans algorithm.
This content contains downloadable datasets
Annotation ability available
A list of downloadable items.
Please Wait. Loading Available Formats...
This modal will allow the user to download citation information or export specific fields of data into one of three file formats: Excel, comma-separated values, or text.
Sorry, this document is already saved to a project folder.
Share this content via social media.
Share Via Email
Email sent successfully!
Use this modal to save a search.
The current search and criteria have already been saved. Please modify your criteria to save as a new search.
Request Sent successfully!
The SAE MOBILUS platform will continue to be accessible and populated with high quality technical content during the coronavirus (COVID-19) pandemic. This includes the availability of publications from events such as the WCX World Congress Experience, Aerotech and many more.
While SAE International has cancelled or postponed all in-person events, courses and programs we are exploring virtual options to allow for continued education and knowledge sharing.
For more information please visit www.sae.org/coronavirus.
Search Tips: Search Operators:AND, OR, NOT; Wild Cards; Using Quotes
SAE MOBILUS® Search Tips
Please note: All terms not contained within quotes, will be evaluated using the OR operator. This means that your search results will contain all results that contain ANY of the entered terms.
AND, OR, NOT
SAE MOBILUS supports the use of the AND, OR and NOT BOOLEAN operators ONLY function with the Advanced Search.
Using the asterisk, ( * ) allows you to search for a partial word. For example, entering a keyword search of aero* will search for any word beginning with aero.
Using the question mark, ( ? ) allows you to search for a word with a single character wildcard. For example, searching for t?re would match both tire and tyre
Words in double quotes " " are treated as a phrase. Conducting a search for "heat model" will return all results in which the exact phrase "heat model" is found, while "heat modeling" would NOT be included.
A term combined with a phrase will be joined with an OR operator.
Searching for Standards
When searching for a standard please use the entire Document Number assigned, which includes the abbreviation. A space can be used, or omitted between the abbreviation and number.