Log in

Relevant bibliographies by topics / Binary image processing / Journal articles

To see the other types of publications on this topic, follow the link: Binary image processing.

Journal articles on the topic 'Binary image processing'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Binary image processing.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Sathesh, A., and Edriss Eisa Babikir Adam. "Hybrid Parallel Image Processing Algorithm for Binary Images with Image Thinning Technique." September 2021 3, no. 3 (2021): 243–58. http://dx.doi.org/10.36548/jaicn.2021.3.007.

Full text

Abstract:

Image thinning is the most essential pre-processing technique that plays major role in image processing applications such as image analysis and pattern recognition. It is a process that reduces a thick binary image into thin skeleton. In the present paper we have used hybrid parallel thinning algorithm to obtain the skeleton of the binary image. The result skeleton contains one pixel width which preserves the topological properties and retains the connectivity.

APA, Harvard, Vancouver, ISO, and other styles

2

Robert, L., and G. Malandain. "Fast Binary Image Processing Using Binary Decision Diagrams." Computer Vision and Image Understanding 72, no. 1 (1998): 1–9. http://dx.doi.org/10.1006/cviu.1997.0655.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Iqbal, Saima, Wilayat Khan, Abdulrahman Alothaim, Aamir Qamar, Adi Alhudhaif, and Shtwai Alsubai. "Proving Reliability of Image Processing Techniques in Digital Forensics Applications." Security and Communication Networks 2022 (March 31, 2022): 1–17. http://dx.doi.org/10.1155/2022/1322264.

Full text

Abstract:

Binary images have found its place in many applications, such as digital forensics involving legal documents, authentication of images, digital books, contracts, and text recognition. Modern digital forensics applications involve binary image processing as part of data hiding techniques for ownership protection, copyright control, and authentication of digital media. Whether in image forensics, health, or other fields, such transformations are often implemented in high-level languages without formal foundations. The lack of formal foundation questions the reliability of the image processing te

APA, Harvard, Vancouver, ISO, and other styles

4

Atmaja, Ratri Dwi, Muhammad Ary Murti, Junartho Halomoan, and Fiky Yosef Suratman. "An Image Processing Method to Convert RGB Image into Binary." Indonesian Journal of Electrical Engineering and Computer Science 3, no. 2 (2016): 377. http://dx.doi.org/10.11591/ijeecs.v3.i2.pp377-382.

Full text

Abstract:

It is important in image processing to extract objects from their background into binary image. Binary image is used as input to feature extraction process and have an important role in generating unique feature to distinguish several classes in pattern recognition. This paper propose an image processing algorithm to obtain a binary image from RGB. The results showed that the binary image of the proposed algorithm contained the desired object.

APA, Harvard, Vancouver, ISO, and other styles

5

Myung-Ho Lee, Oh-Jin Kwon, and Yong-Hwan Lee. "Robust Method for Hiding Binary Image into JPEG HDR Base Layer Image against Common Image Processing." Research Briefs on Information and Communication Technology Evolution 1 (January 15, 2015): 183–97. http://dx.doi.org/10.56801/rebicte.v1i.22.

Full text

Abstract:

Hiding a binary image into color or grey images has been adopted as a useful watermarking methodfor protecting ownership rights. We propose a practical method for this purpose. We generate aparticular binary pseudo-random sequence resembling the sequence used in code division multipleaccess (CDMA) method. We scramble the input binary image normally representing the ownershipby using the modified Hadamard kernel, generate the CDMA binary sequence robust to image processingdistortions, and hide the resulting sequence in the normalized host image. Experimentalresults show that our method guarante

APA, Harvard, Vancouver, ISO, and other styles

6

Zhao, Hang, and Zhao Xue Chen. "A Simple Hole Filling Algorithm for Binary Cell Images." Applied Mechanics and Materials 433-435 (October 2013): 1715–19. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.1715.

Full text

Abstract:

Filling holes in binary images is often required during medical image processing and analysis. However, traditional hole filling algorithms for medical images expose some disadvantages such as possible edge degradations and relatively low efficiency. To overcome such limits, a hole filling algorithm for binary cell images based on largest connected region extraction is proposed in this paper. Since there are less pixels for foreground areas in usual binary cell images, the holes in the binary images can be simply filled by extracting & filling the largest connected region in correspondent

APA, Harvard, Vancouver, ISO, and other styles

7

Bin Zhang, Kuizhi Mei, and Nanning Zheng. "Reconfigurable Processor for Binary Image Processing." IEEE Transactions on Circuits and Systems for Video Technology 23, no. 5 (2013): 823–31. http://dx.doi.org/10.1109/tcsvt.2012.2223872.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Qian, Kai, and Prabir Bhattacharya. "Binary image processing by polynomial approach." Pattern Recognition Letters 11, no. 6 (1990): 395–403. http://dx.doi.org/10.1016/0167-8655(90)90110-n.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

V, Srujana, Chaithanya P, Ramesh B, Manoranjan S, and Mahesh V. "Crop Analysis Using Image Processing." International Journal of Engineering Technology and Management Sciences 4, no. 3 (2020): 9–15. http://dx.doi.org/10.46647/ijetms.2020.v04i03.002.

Full text

Abstract:

To detect the uniqueness and quantities of agriculture product images a new method is proposed using MATLAB software .In this paper we propose a method to increase the contrast level of a image with exponential low pass filter and histogram equalization technique. Next by using region props function we extract the binary features of the image, and then we calculated the number of targets in gray level image. This method can be easily applied in modern agriculture.

APA, Harvard, Vancouver, ISO, and other styles

10

BIAN, ZHAOQI, DAVID ZHANG, and WEI SHU. "KNOWLEDGE-BASED FINGERPRINT POST-PROCESSING." International Journal of Pattern Recognition and Artificial Intelligence 16, no. 01 (2002): 53–67. http://dx.doi.org/10.1142/s021800140200154x.

Full text

Abstract:

True minutiae extraction in fingerprint image is critical to the performance of an automated identification system. Generally, a set of endings and bifurcations (both called feature points) can be obtained by the thinning image from which the true minutiae of the fingerprint are extracted by using the rules based on the structure of ridges. However, considering some false and true minutiae have similar ridge structures in the thinning image, in a lot of cases, we have to explore their difference in the binary image or the original gray image. In this paper, we first define the different types

APA, Harvard, Vancouver, ISO, and other styles

11

Okamoto, Takuya, and Sharifu Ura. "Verifying the Accuracy of 3D-Printed Objects Using an Image Processing System." Journal of Manufacturing and Materials Processing 8, no. 3 (2024): 94. http://dx.doi.org/10.3390/jmmp8030094.

Full text

Abstract:

Image processing systems can be used to measure the accuracy of 3D-printed objects. These systems must compare images of the CAD model of the object to be printed with its 3D-printed counterparts to identify any discrepancies. Consequently, the integrity of the accuracy measurement process is heavily dependent on the image processing settings chosen. This study focuses on this issue by developing a customized image processing system. The system generates binary images of a given CAD model and its 3D-printed counterparts and then compares them pixel by pixel to determine the accuracy. Users can

APA, Harvard, Vancouver, ISO, and other styles

12

Alamareen, Abdullah, Omar Al-Jarrah, and Inad A. Aljarrah. "Image Mosaicing Using Binary Edge Detection Algorithm in a Cloud-Computing Environment." International Journal of Information Technology and Web Engineering 11, no. 3 (2016): 1–14. http://dx.doi.org/10.4018/ijitwe.2016070101.

Full text

Abstract:

Image Mosaicing is an image processing technique that arises from the need of having a more realistic view of the real world wider than the view captured by the lenses of the available cameras. In this paper, a sequence of images will be mosaiced using binary edge detection algorithm in a cloud-computing environment to improve processing speed and accuracy. The authors have used Platform as a Service (PaaS) to provide a number of nodes in the cloud to run the computational intensive image processing and stitching algorithms. This increased the processing speed as most of image processing algor

APA, Harvard, Vancouver, ISO, and other styles

13

Farhan Khan, Muhammad, Syed Muhammad Ghazanfar Monir, and Imran Naseem. "A Novel Zero-Watermarking Based Scheme for Copyright Protection of Gray scale Images." July 2019 38, no. 3 (2019): 627–40. http://dx.doi.org/10.22581/muet1982.1903.09.

Full text

Abstract:

Zero-watermarking of digital images is a powerful method with respect to transparency in the watermarked image. However, robustness is still a challenging characteristic for researchers. The proposed method of zero-watermarking provides a novel solution for increasing robustness by obtaining resident features of gray scale image that are robust against common signal processing operations. The proposed solution is based on image scanning to produce NDD (Neighboring Distance Difference) profile. This scheme is used to extract image features for generating redundancy binary profile with the help

APA, Harvard, Vancouver, ISO, and other styles

14

Li, Ren Chong, Yi Long You, and Feng Xiang You. "Research of Image Processing Based on Lifting Wavelet Transform." Applied Mechanics and Materials 263-266 (December 2012): 2502–9. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2502.

Full text

Abstract:

This paper Study problems which based on lifting wavelet transform image processing. Coding and decoding a complete digital image by using W97-2 wavelet basis wavelet transform, combined with the embedded zerotree wavelet coding and binary arithmetic coding, and complete a lossless compression combined with the international standard test images. Experimental results show that graphics, image processing will come into a higher level because of wavelet analysis combined with image processing.

APA, Harvard, Vancouver, ISO, and other styles

15

Lien, Brian K. "Efficient implementation of binary morphological image processing." Optical Engineering 33, no. 11 (1994): 3733. http://dx.doi.org/10.1117/12.183388.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Marchand-Maillet, Ste´phane. "Binary Digital Image Processing: A Discrete Approach." Journal of Electronic Imaging 10, no. 2 (2001): 576. http://dx.doi.org/10.1117/1.1326456.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Reddy, Shiva Shankar, Veeranki V. R. Maheswara Rao, Kalidindi Sravani, and Silpa Nrusimhadri. "Image quality evaluation: evaluation of the image quality of actual images by using machine learning models." Bulletin of Electrical Engineering and Informatics 13, no. 2 (2024): 1172–82. http://dx.doi.org/10.11591/eei.v13i2.5947.

Full text

Abstract:

Evaluating image features is a significant step in image processing in applications like number plate detection, vehicle tracking and many image processing-based applications. Image processing-based applications need accurate parts to get the best outcomes. Feature detection is done based on various feature detection techniques. The proposed system aims to get the best feature detector based on the input images by evaluating the image features. For assessing the image features, the proposed system worked on various descriptors like oriented FAST and rotated brief (ORB), learned arrangements of

APA, Harvard, Vancouver, ISO, and other styles

18

Hercik, Radim, Zdenek Machacek, Jiri Koziorek, Jan Vanus, Miroslav Schneider, and Wojciech Walendziuk. "Continuity Detection Method in Binary Image Signal." Elektronika ir Elektrotechnika 26, no. 6 (2020): 4–9. http://dx.doi.org/10.5755/j01.eie.26.6.25770.

Full text

Abstract:

This paper is focused on a description of a new method of detecting continuities in a binary image. The detecting method is called “Binary Large Object” (BLOB). A new algorithm with other elementary parameters, as processing speed and memory capability, are described here. The developed BLOB method with described algorithms is implemented in MATLAB. The simulation of the algorithms is tested in different conditions, with the time dependences determination. The research results of the computing time or the BLOB memory demand during computation are presented as well. The developed BLOB method is

APA, Harvard, Vancouver, ISO, and other styles

19

Mu, Hong Bo, Da Wei Qi, and Ming Ming Zhang. "Image Segmentation of Wood with Knot Defects Based on Gray Transformation." Applied Mechanics and Materials 71-78 (July 2011): 1691–94. http://dx.doi.org/10.4028/www.scientific.net/amm.71-78.1691.

Full text

Abstract:

Wood knot image obtained by X-ray was done gray transformation. The contrast of the image after gray transformation can be enhanced obviously and the position of knot can be highlighted. Binary processing was adopted for the image after gray transformation. The defects areas of the binary images are filled. Then, invert the best binary image of wood defect, and then adduct the obtained image. The result of wood defect image plus is that defects regions take apart completely with their background, which means the image segmentation is completed. Wood utilization is improved. The experiment resu

APA, Harvard, Vancouver, ISO, and other styles

20

Zhang, Le, Quan Liu, Qi Ming Fu, and Xiao Yan Wang. "A Bit-Decomposition Adaptive Watermarking Algorithm Based on the Multi-Polar Mask." Key Engineering Materials 467-469 (February 2011): 912–17. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.912.

Full text

Abstract:

Traditional digital watermarking usually adopts the gray image as hidden information, more embedded information result in largely modifying more image data. Binary image can guarantee good affection of human vision, a bit-decomposition adaptive watermarking algorithm based on the mask is proposed. According to the superiority of binary, classifying binary images to three kinds of sub graph (High, Middle, and Low-sub graph); multi-masks are constructed by the importance of different sub graphs and cover the original image. Experimental results demonstrate the proposed scheme not only has better

APA, Harvard, Vancouver, ISO, and other styles

21

Sun, Shanqian, Yunjia Huang, Kohei Inoue, and Kenji Hara. "Order Space-Based Morphology for Color Image Processing." Journal of Imaging 9, no. 7 (2023): 139. http://dx.doi.org/10.3390/jimaging9070139.

Full text

Abstract:

Mathematical morphology is a fundamental tool based on order statistics for image processing, such as noise reduction, image enhancement and feature extraction, and is well-established for binary and grayscale images, whose pixels can be sorted by their pixel values, i.e., each pixel has a single number. On the other hand, each pixel in a color image has three numbers corresponding to three color channels, e.g., red (R), green (G) and blue (B) channels in an RGB color image. Therefore, it is difficult to sort color pixels uniquely. In this paper, we propose a method for unifying the orders of

APA, Harvard, Vancouver, ISO, and other styles

22

Ansari, Mohd Dilshad, Satya Prakash Ghrera, and Arunodaya Raj Mishra. "Texture Feature Extraction Using Intuitionistic Fuzzy Local Binary Pattern." Journal of Intelligent Systems 29, no. 1 (2016): 19–34. http://dx.doi.org/10.1515/jisys-2016-0155.

Full text

Abstract:

Abstract In this paper, intuitionistic fuzzy local binary for texture feature extraction (IFLBP) has been proposed to encode local texture from the input image. The proposed method extends the fuzzy local binary pattern approach by incorporating intuitionistic fuzzy sets in the representation of local patterns of texture in images. Intuitionistic fuzzy local binary pattern also contributes to more than one bin in the distribution of IFLBP values, which can further be used as a feature vector in the various fields of image processing. The performance of the proposed method has been demonstrated

APA, Harvard, Vancouver, ISO, and other styles

23

Yuan, Shifu, Guofan Jin, Minxian Wu, and Yingbai Yan. "Neighborhood operation binary image algebra for optical morphological image processing." Optics Communications 123, no. 4-6 (1996): 705–15. http://dx.doi.org/10.1016/0030-4018(95)00317-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Said, K. A. M., and A. B. Jambek. "Analysis of Image Processing Using Morphological Erosion and Dilation." Journal of Physics: Conference Series 2071, no. 1 (2021): 012033. http://dx.doi.org/10.1088/1742-6596/2071/1/012033.

Full text

Abstract:

Abstract Digital image processing is important for image information extraction. One of the image processing methods is morphological image processing. This technique uses erosion and dilation operations to enhance and improve the image quality by shrinking and enlarging the image foreground. However, morphological image processing performance depends on the characteristics of structuring elements and their foreground image that need to be extracted. This paper studies how the structuring elements affect the performance of morphological erosion and dilation on binary images. The experimental r

APA, Harvard, Vancouver, ISO, and other styles

25

Skoriukova, Ya G., T. B. Martyniuk, S. M. Markov, and V. M. Kokushkin. "Features of determining the location of the reference image on the current half-tone using the method of binary slices." Optoelectronic Information-Power Technologies 47, no. 1 (2024): 78–87. http://dx.doi.org/10.31649/2413-4503-2024-17-1-78-87.

Full text

Abstract:

The possibility of creating new effective approaches and methods for the operation of visual systems of mobile works for the identification of tasks and objects of objects is due to the requirements of today. The work method is an analysis of the features of halftone image processing using the method of binary slices to identify a reference image in the field of the current image. The methods of analysis, abstraction and analogy were used as research methods. Separate articles offer an approach to complementing a reference halftone image on a current halftone image. To do this, we note the fea

APA, Harvard, Vancouver, ISO, and other styles

26

Purahong, B., V. Chaowalittawin, W. Krungseanmuang, P. Sathaporn, T. Anuwongpinit, and A. Lasakul. "Crack Detection of Eggshell using Image Processing and Computer Vision." Journal of Physics: Conference Series 2261, no. 1 (2022): 012021. http://dx.doi.org/10.1088/1742-6596/2261/1/012021.

Full text

Abstract:

Abstract This article presents an eggshell crack inspection using image processing techniques. This approach uses the concept of industrial 4.0 to reduce manual coordination in the egg industry’s manufacturing process. The method started with receiving images from a webcam camera. Then, we rescaled the image to 1147 x 633 for faster computation. Next, divide the image into the red and green channels. The red channel image was converted to grayscale using a Gaussian blur filter with a kernel filter 11 x 11 to reduce noise, followed by turning the image to binary. After that, multiply the binary

APA, Harvard, Vancouver, ISO, and other styles

27

Lin, Jingli, Changwei Li, Xi Lan, and Jinge Li. "A Pipeline-based Low Complexity Dual Thresholds and Multiresolution Mouth Detection Method." Journal of Physics: Conference Series 2218, no. 1 (2022): 012016. http://dx.doi.org/10.1088/1742-6596/2218/1/012016.

Full text

Abstract:

Abstract Mouth detection is a basic step in the automatic diagnosis of buccal diseases. This paper proposes a method of using FPGA(Field Prog ram mable Gate Array) to detect the human mouth region in images, which adopts a pipelined design for high-speed operating. Thus, it can be applied to mouth motion detection as well. After an original image is processed regularly by median filtering, color conversion is performed to obtain its corresponding H component, which is used to create a partitioned binary image. Each constituent region of the binary image uses two thresholds for regional process

APA, Harvard, Vancouver, ISO, and other styles

28

LokeshVenkata, Sai Mamidi, Chaitanya Pisupati, and VikasUpadhyaya. "Application of Image Processing In E-Commerce." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 2 (2019): 355–59. https://doi.org/10.35940/ijeat.B3036.129219.

Full text

Abstract:

The advancement and perpetual development in technology have made it possible to automate many processes. The proposed Algorithm in this research provides the framework to self-operate the process of quantifying the shoulder size of humans by taking the images of the user so that it can be utilized to find the shirt size of the human. The framework involves three important phases which are segmentation, edge detection, predicting shirt size. Since colour has no prominent role in measurement of size,otsu’s binary thresholding for image segmentation is used in order to get binary image whi

APA, Harvard, Vancouver, ISO, and other styles

29

Prasetyo, Teguh, Hakam Muzakki, Rifky Maulana Yusron, and Achmad Taufiqurrohman. "Failure Blanking Result Based on Image Processing Analysis." Journal of Physics: Conference Series 2972, no. 1 (2025): 012065. https://doi.org/10.1088/1742-6596/2972/1/012065.

Full text

Abstract:

Abstract This study discussed image processing used to imprecision of micro product blanking. Image processing has been developed to improve the precision in the inspection process. Image of specimen, operate image to grey scale, binary of the image, operational mathematic of the binary image, and wide of inaccurate were studied in this study. The image of the micro blanking product could be taken with a digital microscopy camera, the image could be processed to show inaccuracy, and image processing could be used to analysis and measure wide of imprecision. Specimen more the 40 tend to impreci

APA, Harvard, Vancouver, ISO, and other styles

30

HE, QINBIN, and FANGYUE CHEN. "DESIGNING CNN GENES FOR BINARY IMAGE EDGE SMOOTHING AND NOISE REMOVING." International Journal of Bifurcation and Chaos 16, no. 10 (2006): 3007–13. http://dx.doi.org/10.1142/s0218127406016604.

Full text

Abstract:

Edge smoothing and noise removing for images are a common method of image processing. By designing CNN genes, edges can be smoothed and particles can be removed from a binary image. However, a satisfying result cannot be obtained by choosing only one CNN gene. In this paper, a group of edge smoothing and noise removing CNN genes is proposed as a synthetic disposal for a binary image. Disposed by the group of CNN genes, the characteristics of the original image can be preserved as much as possible. Two examples of edge smoothing and noise removing for a binary image are well illustrated by this

APA, Harvard, Vancouver, ISO, and other styles

31

Patel, Jagrti, Meghna Jain, and Papiya Dutta. "Detection of Faults Using Digital Image Processing Technique." Asian Journal of Engineering and Applied Technology 2, no. 1 (2013): 36–39. http://dx.doi.org/10.51983/ajeat-2013.2.1.644.

Full text

Abstract:

This paper presents an approach to automatic detection of fabric defects using digital image processing. In Textile industry automatic fabric inspection is important to maintain the quality of fabric. Fabric defect detection is carried out manually with human visual inspection for a long time. This paper proposes an approach to recognize fabric defects in textile industry for minimizing production cost and time. Fabric analysis is performed on the basis of digital images of the fabric. The recognizer acquires digital fabric images by image acquisition device and converts that image into binary

APA, Harvard, Vancouver, ISO, and other styles

32

Nivendhaa, R. K., and R. Parvathi. "Intuitionistic fuzzy index matrix representation of color images." Notes on Intuitionistic Fuzzy Sets 26, no. 4 (2020): 64–70. http://dx.doi.org/10.7546/nifs.2020.26.4.64-70.

Full text

Abstract:

It is usual in image processing that binary (black & white) and gray images are represented by crisp sets and fuzzy sets respectively. In this paper, an attempt has been made to represent a color image (RGB) using intuitionistic fuzzy index matrices. The objective of this representation is to apply mathematical operators on intuitionistic fuzzy index matrices in processing RGB images.

APA, Harvard, Vancouver, ISO, and other styles

33

Ismaila, Folasade. M., O. Adeolu Afolabi, W. Oladimeji Ismaila, and Oluwaseun O. Alo. "Performance Evaluation of Selected Feature Extraction Techniques in Digital Face Image Processing." Performance Evaluation of Selected Feature Extraction Techniques in Digital Face Image Processing 9, no. 1 (2024): 9. https://doi.org/10.5281/zenodo.10670429.

Full text

Abstract:

Digital image processing is the use of computer algorithms to analyze digital images. Digital image processing, involves many processing stages of which feature extraction stage is important. Feature extraction involves reducing the number of resources required to describe a large set of data. However, choosing a feature extraction techniques is a problem because of their deficiencies. Thus, this paper presents a comparative performance analysis of selected feature extraction techniques in human face images. 90 face images were acquired with three different poses viz: normal, angry and laughin

APA, Harvard, Vancouver, ISO, and other styles

34

Zhang, Chun E., Fan Ci Guo, and Ke Xiong. "Towards Subjective Consistency: An Effective Objective Quality Assessment Algorithm for Binary Image." Key Engineering Materials 474-476 (April 2011): 143–50. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.143.

Full text

Abstract:

Image quality assessment plays an important role in various image processing applications. One of the challenges to objectively assess image quality is how to design an effective scheme to achieve high consistency with the classic subjective image assessment criterion, Mean Opinion Score (MOS). This work presents a novel objective assessment algorithm for binary images by considering three factors which have great influences on visual quality of binary images, i.e., structural change caused by noise point, isolated noise points, and gathering noise points. Experimental results show that our al

APA, Harvard, Vancouver, ISO, and other styles

35

Xing, Wenyu, Ming Yu, and Xin Liu. "A Mumford-Shah Model-based Method for Inpainting Markers in Ultrasound Images." Journal of Physics: Conference Series 2822, no. 1 (2024): 012032. http://dx.doi.org/10.1088/1742-6596/2822/1/012032.

Full text

Abstract:

Abstract During ultrasound diagnosis in clinics, clinicians often mark the lesion area, resulting in the presence of unnecessary objects in the collected ultrasound images. These markers potentially affect subsequent image analysis. To address this problem, we proposed an image inpainting method that combines image processing with Mumford-Shah algorithm to remove markers from ultrasound images. The proposed method consists of two parts. First, the input ultrasound images were processed by several image processing algorithms, including contrast enhancement, image binarization, edge detection, h

APA, Harvard, Vancouver, ISO, and other styles

36

Fakhri Ab. Nasir, Ahmad, M. Nordin A Rahman, Nashriyah Mat, A. Rasid Mamat, and Ahmad Shahrizan Abdul Ghani. "Image Pre-Processing Algorithm for Ficus deltoidea Jack (Moraceae) Varietal Recognition: A Repeated Perpendicular Line Scanning Approach." International Journal of Engineering & Technology 7, no. 2.15 (2018): 49. http://dx.doi.org/10.14419/ijet.v7i2.15.11211.

Full text

Abstract:

Image pre-processing task is always the first crucial step in plant species recognition system which is responsible to keep precision of feature measurement process. Some of researchers have developed the image pre-processing algorithm to remove petiole section. However, the algorithm was developed using semi-automatic algorithm which is strongly believed to give an inaccurate feature measurement. In this paper, a new technique of automatic petiole section removal is proposed based on repeated perpendicular petiole length scanning concept. Four phases of petiole removal technique involved are:

APA, Harvard, Vancouver, ISO, and other styles

37

Liu, Ying Jie, and Fu Cheng You. "Application of Mathematical Morphology on Touching or Broken Characters Processing." Advanced Materials Research 171-172 (December 2010): 73–77. http://dx.doi.org/10.4028/www.scientific.net/amr.171-172.73.

Full text

Abstract:

It is difficult to process touching or broken characters in practical applications on optical character recognition. For touching or broken characters, a method based on mathematical morphology of binary image is put forward in the paper. On the basis of the relative theories of digital image processing, the overall process is introduced including separation of touching characters and connection of broken characters. First of all, character image is pre-processed through smoothing and threshold segmentation in order to generate binary image of characters. Then character regions which are touch

APA, Harvard, Vancouver, ISO, and other styles

38

Purahong, B., W. Krungseanmuang, V. Chaowalittawin, T. Pumee, I. Kanjanasurat, and A. Lasakul. "Classification of Overlapping Eggs Based on Image Processing." Journal of Physics: Conference Series 2261, no. 1 (2022): 012023. http://dx.doi.org/10.1088/1742-6596/2261/1/012023.

Full text

Abstract:

Abstract This paper presents a method for classifying the overlapped eggs and counting the number of eggs on the conveyor belt using image processing techniques. The image was acquired by a webcam camera that connected to the computer and then rescaled. The image was then converted to grayscale and noise was reduced using a Gaussian blur filter. Otsu’s Binarization is used to convert the image to binary. The binary image is then subjected to morphological operations. Following that, using the Watershed Algorithm, separate the egg’s overlapped area. Finally, the prepared image is ready to be co

APA, Harvard, Vancouver, ISO, and other styles

39

Premalatha, Mrs M., A. Heymath Kumar, M. Manoj Kumar, P. Pavithran, and K. Shatyadeep. "Drugged Eye Detection Using Image Processing." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 1577–82. http://dx.doi.org/10.22214/ijraset.2023.50427.

Full text

Abstract:

Abstract: Drugs are a major problem in economic and many losses in worldwide. In this project, an image processing approach is proposed for identifying drugged eye based on convolutional neural network. According to the CNN algorithm, eye image details are taken by the existing packages from the front end used in this project. However, it can take a few moments. So, this proposed system can be used to identify drugged eyes quickly and automatically. The eye images dataset are taken from Kaggle. These images are taken as a training set for this drugged eye detection. This proposed approach is c

APA, Harvard, Vancouver, ISO, and other styles

40

Wu, Lan Lan, Jie Wu, You Xian Wen, Hui Peng, and Zhi Hui Zhu. "Detection for Corn/Weed Images Using Moment Invariants by BPNN Classifier." Advanced Materials Research 605-607 (December 2012): 2183–86. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2183.

Full text

Abstract:

This study was conducted to discriminate the weed from the corn in a field combined neural network classifier with image processing technology. The corn and weed images were scanned using a colour imaging system. In the first step, an approximate location of the object of interest was determined by minimum enclosing rectangle, in which image processing was done to obtain the binary image. In the second step, the seven invariant moments were extracted from binary images and used as input to the back propagation neural network (BPNN) classifier. The training set was used to construct shape model

APA, Harvard, Vancouver, ISO, and other styles

41

Liu, Chun Wei, and Li Qing Li. "Automatic Inspection of Silk Spinning Yarn Fineness." Advanced Materials Research 175-176 (January 2011): 360–65. http://dx.doi.org/10.4028/www.scientific.net/amr.175-176.360.

Full text

Abstract:

In this paper, a method of automatic inspection of silk spinning yarn fineness through image processing was developed. The acquired images were processed by image processing methods. Three thresholding methods were used and compared. The diameter and its CV value were obtained by processing the binary images. The results obtained were compared with measurements performed by means of EIB (Electronic Inspection Board). Yarn fineness and its CV value were obtained and the experimental results prove that the iterative method is more suitable for thresholding images to measure the silk yarn finenes

APA, Harvard, Vancouver, ISO, and other styles

42

C.Prasad, Dr.Mahesh, and Jilani Dr.S.A.K. "RECOVERY OF DOCUMENT TEXT FROM TORN FRAGMENTS USING IMAGE PROCESSING." International Journal of Engineering Sciences & Research Technology 5, no. 4 (2016): 85–97. https://doi.org/10.5281/zenodo.46999.

Full text

Abstract:

Recovery of document from its torn or damaged fragments play an important role in the field of forensics and archival study. Reconstruction of the torn papers manually with the help of glue and tapes etc., is tedious, time consuming and not satisfactory. For torn images reconstruction we go for image mosaicing, where we reconstruct the image using features (corners) and RANSAC with homography.But for the torn fragments there is no such similarity portion between fragments. Hence we propose a new process to recover the original document form its torn pieces by using the Binary image processing

APA, Harvard, Vancouver, ISO, and other styles

43

Yao, Bin, Haochen He, Shiying Kang, Yuyan Chao, and Lifeng He. "Efficient Strategies for Computing Euler Number of a 3D Binary Image." Electronics 12, no. 7 (2023): 1726. http://dx.doi.org/10.3390/electronics12071726.

Full text

Abstract:

As an important topological property for a 3D binary image, the Euler number can be computed by finding specific a voxel block with 2 × 2 × 2 voxels, named the voxel pattern, in the image. In this paper, we introduce three strategies for enhancing the efficiency of a voxel-pattern-based Euler number computing algorithm used for 3D binary images. The first strategy is taking advantage of the voxel information acquired during computation to avoid accessing voxels repeatedly. This can reduce the average number of accessed voxels from 8 to 4 for processing a voxel pattern. Therefore, the efficienc

APA, Harvard, Vancouver, ISO, and other styles

44

Kaushik, H. Raviya, Vyas DwivediVed, and M. Kothari Ashish. "Image Watermarking – Hybrid Approach for Embedding Binary Watermark into the Digital Image." International Journal of Recent Technology and Engineering (IJRTE) 9, no. 4 (2020): 397–401. https://doi.org/10.35940/ijrte.D5021.119420.

Full text

Abstract:

This paper illustrates a unique approach for embedding binary image watermarks into the digital images. or the purpose of watermarking; we made use of three most influential transforms in the field of image processing i.e. Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD). For the sake of estimation, comparison and calculation of our approach we calculated three image quality parameters specifically peak signal to noise ratio (PSNR), Mean square error (MSE) and Correlation.

APA, Harvard, Vancouver, ISO, and other styles

45

Saridou, Betty, Isidoros Moulas, Stavros Shiaeles та Basil Papadopoulos. "Image-Based Malware Detection Using α-Cuts and Binary Visualisation". Applied Sciences 13, № 7 (2023): 4624. http://dx.doi.org/10.3390/app13074624.

Full text

Abstract:

Image conversion of malicious binaries, or binary visualisation, is a relevant approach in the security community. Recently, it has exceeded the role of a single-file malware analysis tool and has become a part of Intrusion Detection Systems (IDSs) thanks to the adoption of Convolutional Neural Networks (CNNs). However, there has been little effort toward image segmentation for the converted images. In this study, we propose a novel method that serves a dual purpose: (a) it enhances colour and pattern segmentation, and (b) it achieves a sparse representation of the images. According to this, w

APA, Harvard, Vancouver, ISO, and other styles

46

Salahuddin, Inzamam shahzad, Abdul manan razzaq, et al. "INTELLIGENT MELANOMA DETECTION BASED ON PIGMENT NETWORK." Kashf Journal of Multidisciplinary Research 1, no. 10 (2024): 1–14. https://doi.org/10.71146/kjmr45.

Full text

Abstract:

Early detection of melanoma, the deadliest form of skin cancer, is critical for effective treatment. Detecting skin lesions accurately from dermoscopic images remains challenging, with the pigment network being a crucial indicator for melanoma detection. The accurate identification of pigment networks in dermoscopic images is difficult due to image noise and unwanted hair artifacts, which can obscure meaningful diagnostic features. To address these challenges, this thesis proposes novel image processing approaches for computer-aided pigment network detection. These methods aim to enhance image

APA, Harvard, Vancouver, ISO, and other styles

47

Hamad Khaleefah, Shihab, Salama A. Mostafa, Aida Mustapha, and Mohammad Faidzul Nasrudin. "Review of local binary pattern operators in image feature extraction." Indonesian Journal of Electrical Engineering and Computer Science 19, no. 1 (2020): 23. http://dx.doi.org/10.11591/ijeecs.v19.i1.pp23-31.

Full text

Abstract:

<span>With the substantial expansion of image information, image processing and computer vision have significant roles in several applications, including image classification, image segmentation, pattern recognition, and image retrieval. An important feature that has been applied in many image applications is texture. Texture is the characteristic of a set of pixels that form an image. Therefore, analyzing texture has a significant impact on segmenting an image or detecting important portions of an image. This paper provides a review on LBP and its modifications. The aim of this review i

APA, Harvard, Vancouver, ISO, and other styles

48

Shihab, Hamad Khaleefah, A. Mostafa Salama, Mustapha Aida, and Faidzul Nasrudin Mohammad. "Review of local binary pattern operators in image feature extraction." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 19, no. 1 (2020): 23–31. https://doi.org/10.11591/ijeecs.v19.i1.pp23-31.

Full text

Abstract:

With the substantial expansion of image information, image processing and computer vision have significant roles in several applications, including image classification, image segmentation, pattern recognition, and image retrieval. An important feature that has been applied in many image applications is texture. Texture is the characteristic of a set of pixels that form an image. Therefore, analyzing texture has a significant impact on segmenting an image or detecting important portions of an image. This paper provides a review on LBP and its modifications. The aim of this review is to show th

APA, Harvard, Vancouver, ISO, and other styles

49

Zou, Yongning, Gongjie Yao, and Jue Wang. "Research on 3D crack segmentation of CT images of oil rock core." PLOS ONE 16, no. 10 (2021): e0258463. http://dx.doi.org/10.1371/journal.pone.0258463.

Full text

Abstract:

In this paper, we propose a framework for CT image segmentation of oil rock core. According to the characteristics of CT image of oil rock core, the existing level set segmentation algorithm is improved. Firstly, an algorithm of Chan-Vese (C-V) model is carried out to segment rock core from image background. Secondly the gray level of image background region is replaced by the average gray level of rock core, so that image background does not affect the binary segmentation. Next, median filtering processing is carried out. Finally, an algorithm of local binary fitting (LBF) model is executed t

APA, Harvard, Vancouver, ISO, and other styles

50

Buckley, Neil, Atulya Nagar, and Subramanian Arumugam. "On Real-valued Visual Cryptographic Basis Matrices." JUCS - Journal of Universal Computer Science 21, no. (12) (2015): 1536–62. https://doi.org/10.3217/jucs-021-12-1536.

Full text

Abstract:

Visual cryptography (VC) encodes an image into noise-like shares, which can be stacked to reveal a reduced quality version of the original. The problem with encrypting colour images is that they must undergo heavy pre-processing to reduce them to binary, entailing significant quality loss. This paper proposes VC that works directly on intermediate grayscale values per colour channel and demonstrates real-valued basis matrices for this purpose. The resulting stacked shares produce a clearer reconstruction than in binary VC, and to the best of the authors' knowledge, is the first method posing n

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!