Shanghai Sunland Industrial Co., Ltd is the top manufacturer of Personal Protect Equipment in China, with 20 years’experience. We are the Chinese government appointed manufacturer for government power,personal protection equipment , medical instruments,construction industry, etc. All the products get the CE, ANSI and related Industry Certificates. All our safety helmets use the top-quality raw material without any recycling material.
The guide brought back 2000 pieces of protective clothing from abroad
We provide exclusive customization of the products logo, using advanced printing technology and technology, not suitable for fading, solid and firm, scratch-proof and anti-smashing, and suitable for various scenes such as construction, mining, warehouse, inspection, etc. Our goal is to satisfy your needs. Demand, do your best.
Professional team work and production line which can make nice quality in short time.
The professional team provides 24 * 7 after-sales service for you, which can help you solve any problems
Address：No. 3888, Hutai Road, Baoshan District, Shanghai, China
Hi - Coming to the end of writing a script to first segment particles and then save each individually. Ideally I would only like the particle pixels (without background in boundary box) so I am attempting to create masks of each particle, overlay this, make each binary ROI (value of 0) 'transparent' so that the particle is on show with white (value of 1) surroundings - I have tried modifying ...
Mask image, with static threshold in ,matlab,. Ask Question Asked 7 years, 6 months ago. Active 7 years, 6 months ago. Viewed 7k times 1. I need to Binarize ,an image, in ,matlab, with a static threshold of 10% of mean intensity. I find mean intensity using mean2(,Image,) and this returns ...
MATLAB,: Create ,mask, over ,image,. grayscale ,image, analysis ,image, processing ,Image, Processing Toolbox ,mask masking, rgb. I am trying to create ,mask, over ,an image, (input). I already used photoshop to create a ,mask, (which is basiclly ,an image, with same size as input ,image,) t which I add to the original ,image,.
% Demo to have the user freehand draw an irregular shape over a gray scale ,image,. % Then it creates new ,images,: % (1) where the drawn region is all white inside the region and untouched outside the region, % (2) where the drawn region is all black inside the region and untouched outside the region, % (3) where the drawn region is untouched inside the region and all black outside the region ...