Counterfeit Currency Detection Technique Using Image Processing, Polarization Principle and Holographic Technique

2013 ◽  
Author(s):  
Kamesh Santhanam ◽  
Sairam Sekaran ◽  
Sriram Vaikundam ◽  
Anbu Mani Kumarasamy
Keyword(s):  
Image Processing ◽  
Detection Technique

An Algorithmic Approach Based on CMS Edge Detection Technique for the Processing of Digital Images

2020 ◽  
pp. 252-272
Author(s):  
Kalyan Kumar Jena ◽  
Sasmita Mishra ◽  
Sarojananda Mishra
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Digital Image Processing ◽  
Digital Images ◽  
Color Images ◽  
Experimental Results ◽  
Detection Technique ◽  
Algorithmic Approach ◽  
Current Scenario ◽  
Edge Detection Method

Research in the field of digital image processing (DIP) has increased in the current scenario. Edge detection of digital images is considered as an important area of research in DIP. Detecting edges in different digital images accurately is a challenging work in DIP. Different methods have been introduced by different researchers to detect the edges of images. However, no method works well under all conditions. In this chapter, an edge detection method is proposed to detect the edges of gray scale and color images. This method focuses on the combination of Canny, mathematical morphological, and Sobel (CMS) edge detection operators. The output of the proposed method is produced using matrix laboratory (MATLAB) R2015b and compared with Sobel, Prewitt, Roberts, Laplacian of Gaussian (LoG), Canny, and mathematical morphological edge detection operators. The experimental results show that the proposed method works better as compared to other existing methods in detecting the edges of images.

scholarly journals An Intelligent Automatic Fault Detection Technique Incorporating Image Processing and Fuzzy Logic

2019 ◽  
Vol 1244 ◽  
pp. 012035
Author(s):  
Kulsoom Iftikhar ◽  
Shahzad Anwar ◽  
Muhammad Tahir Khan ◽  
Yasser Abd. Djawad
Keyword(s):  
Image Processing ◽  
Fuzzy Logic ◽  
Fault Detection ◽  
Detection Technique

scholarly journals Detection Technique of Squamous Epithelial Cells in Sputum Slide Images using Image Processing Analysis

2014 ◽  
Vol 1 (1) ◽  
Author(s):  
Fatin Izzwani Azman ◽  
Kamarul Hawari Ghazali ◽  
Rosyati Hamid ◽  
Noor Amira Syuhada Mahamad Salleh
Keyword(s):  
Image Processing ◽  
Epithelial Cells ◽  
Detection Technique

scholarly journals Vehicle Vacant Seat Identification and Mask Detection using Image processing

2021 ◽  
Vol 9 (VII) ◽  
pp. 118-121
Author(s):  
Mr. Shubham Ingole
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Face Detection ◽  
Detection Technique ◽  
Processing Technology ◽  
Raspberry Pi ◽  
Human Being ◽  
People Tracking ◽  
Software Application ◽  
The Face

This article describes the technique of real-time face detection, mask detection, and vacant seat available in the vehicle. There are so many technologies for finding seat availability in the vehicle. But image processing technology is very popular today. Face detection is part of image processing. It is used to find the face of a human being in a certain area. Face detection is used in many applications, such as facial recognition, people tracking or photography. In this paper, the face detection technique is used to detect the vacant seat availability in the vehicle and also to detect whether the passenger wear the mask on his face or not. The webcam is installed in the vehicle and connected with the Raspberry Pi 3 model B. When the vehicle leaves the station, the webcam will capture images of the passengers in the seating area. The webcam will be mounted on the vehicle. The images will be adjusted and enhanced to reduce noise made by the software application. The system obtains the maximum number of passengers in the vehicle that processes the images and then calculates the availability of seats in the vehicle. In covid-19 situation mask detection is necessary. so this system also used to detect the mask on face.

An Asbestos Fiber Detection Technique Utilizing Image Processing Based on Dispersion Color

2009 ◽  
Vol 27 (2) ◽  
pp. 177-192 ◽  
Author(s):  
Kuniaki Kawabata ◽  
Yuta Komori ◽  
Taketoshi Mishima ◽  
Hajime Asama
Keyword(s):  
Image Processing ◽  
Detection Technique ◽  
Asbestos Fiber

Identification and Reconstruction of Cracks in Ultrasonic Infrared Thermography

2012 ◽  
Vol 249-250 ◽  
pp. 46-50 ◽  
Author(s):  
Fu Zhou Feng ◽  
Chao Sheng Zhang ◽  
Qing Xu Min ◽  
Peng Cheng Jiang
Keyword(s):  
Image Processing ◽  
Heat Conduction ◽  
Infrared Thermography ◽  
Infrared Imaging ◽  
Ultrasonic Pulse ◽  
Detection Technique ◽  
One Dimension ◽  
Pulse Excitation ◽  
Conduction Model ◽  
Ultrasonic Infrared Thermography

Ultrasonic infrared thermography is a novel nondestructive detection technique, which combines a short ultrasonic pulse excitation and infrared imaging to detect defects, such as crack, in materials and structures. A simplified one-dimension heat-conduction model excited by ultrasonic pulses is put forward in this paper. Based on this model, a serial of image processing methods for recognition and reconstruction of cracks were presented. Results obtained show that the proposed method is creditable and applicable.

The Use of Hybrid Technique: Thresholding and Edge Detection for Identifying River from Aerial Photo

2012 ◽  
Author(s):  
Mohd. Shafry Mohd. Rahim ◽  
Nik Isrozaidi Nik Ismail ◽  
Mohd. Azuan Shah Idris
Keyword(s):  
Image Processing ◽  
Feature Extraction ◽  
Edge Detection ◽  
Key Words ◽  
Detection Technique ◽  
Hybrid Technique ◽  
Aerial Photo ◽  
Hybrid Techniques ◽  
Grey Scale ◽  
Sobel Edge Detection

Bidang pemprosesan imej merupakan satu bidang yang luas dengan pelbagai aplikasi terutama dalam bidang sains dan industri. Pemprosesan imej digunakan dalam manipulasi dan penambahbaikan imej untuk memudahkan proses seterusnya. Penyelidikan ini melibatkan penggunaan teknik hybrid yang menggabungkan teknik threshold dan teknik pengesanan sisi Sobel, untuk mengenal pasti sungai daripada imej berskala kelabu. Teknik thresholding digunakan untuk mengurangkan piksel sisi yang tak maksima, piksel sisi yang lemah dan mengurangkan kesan hingar, manakala edge detection digunakan untuk mengesan kehadiran piksel sisi. Hasil yang diperolehi daripada penggunaan teknik hybrid dibandingkan dengan teknik–teknik yang sedia ada seperti Sobel, Prewitt, Laplacian dan Robert Cross. Kata kunci: Pemprosesan imej, mengenal pasti ciri-ciri, pengesanan garis, foto udara The field of image processing is a broad field with many applications in science and industry. Image processing is used to manipulate and enhance an image, which ease the next process. This research involves the use of a hybrid techniques, which is a combination of thresholding and Sobel edge detection technique, to recognize a river from a grey scale image. Thresholding technique is used to reduce non-maxima pixels, weak edges and noise, whilst the edge detection technique is used to detect location of the edges. The output from this hybrid technique is compared to the existing techniques such as Sobel, Prewitt, Laplacian, and Robert Cross technique. Key words: Image processing, feature extraction, edge detection, aerial photo

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