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In industrial production, the application of the on-line detection and recognition technology of capsule defects is more and more widely. The correct segmentation of the target capsule is essential for the feature extraction and accurate recognition. Because the difference between the oval transparent capsule and background is small and the image exists uneven illumination interference, common methods...
Vignetting correction is an essential part of pre-processing to address decreasing illumination towards the border of a microscopic image. Image processing and analysis is a potential tool for monitoring and prediction of activated sludge wastewater treatment plant. Microscopic images of activated sludge require anti-vignetting or vignetting correction algorithm for accuracy of subsequent image analysis...
This work is devoted to shadow detection and removal from very high resolution (VHR) satellite images. As an example, a WorldView-2 satellite image of an urban area was processed. The presence of shadows can cause a loss of a significant part of useful information. To restore illumination in shadowed areas and increase image quality, we have developed an efficient shadow removal algorithm. In order...
Fault diagnosis of activated sludge wastewater treatment plant for abnormal operation can be done using image processing and analysis of microscopic images of samples collected from aeration tank of the plant. In this paper, a novel illumination compensated segmentation technique is proposed for bright field microscopic images of the activated sludge wastewater samples. The illumination noise is modeled...
A gesture is a form of non verbal communication or non vocal communication in which visible bodily actions communicate particular messages, either in place of, or in conjunction with, speech. Gestures include movement of the hands, face, or other parts of the body. Gestures differ from physical non-verbal communication that does not communicate specific messages, such as purely expressive displays,...
Character segmentation is the area of image segmentation, which is the classical problem. Different researchers put forward different resolution algorithms, but mainly concentrate on whether the segmentation result is good or not. As for the distinct difference between the prospect and background of image, global threshold segmentation method is simplest, but it is not suitable for the image which...
Frame difference is most widely used in video detection, but the original frame difference is not accurate enough to segment the moving object in special scenes such as light changes suddenly or camera shakes slightly. In this paper, we propose a segmentation algorithm based on improved frame differences. In the algorithm, we first set the frame difference value k by the environment characteristics,...
Image processing and analysis is a useful tool for monitoring of activated sludge wastewater treatment plant. However its effectiveness is dependent on performance of the segmentation algorithms. The activated sludge plant is monitored by image processing and analysis of images acquired through trinocular microscope. The sample observed under microscope is collected from aeration tank of the plant...
An object within low illumination image is difficult to distinguish and its contour needs fast computing speed in real-time visual detection systems. Aiming at above problem, a short step affine transformation (SSAT) Sobel algorithm for image edge detection is represented. First, static image needs to do affine transformation. The corresponding gradient image will be obtained after transformed image...
Ground-based cloud detection plays an essential role in meteorological research, and object segmentation techniques have recently been introduced to solve this issue. As a kind of object segmentation technique, interactive graph cut has emerged as a very powerful tool due to its effective segmentation ability. However, it requires users to provide labels for certain pixels as “object” or “background,”...
Current research on performance evaluation of video segmentation methods is primarily focussed on the development of objective figures of merit. There is no standardised methodology for subjective evaluations of segmentation performance and these are currently perceived as too onerous. Using an experimental design and data analysis method derived from current practice in experimental psychology, we...
Automatic text detection and extraction systems for natural scene images and videos have gained wide attention due to its immense applications in various fields of information retrieval. Many algorithms have been proposed in literature which addresses the problem of text detection. The color uniformity of text characters is one of the strong features which is used in color based text localisation...
In this paper, a novel approach for human presence detection from digital image is presented. This approach is based on combined clue from skin colour and minor motion detection. For skin colour detection, explicit thresholding of CbCr colour channels is used and for minor motion detection morphological differences of multiple consecutive images has been used. MATLAB® is used for processing. Relatively...
This paper proposed a robust segmentation method which can adopt varied conditions. The local binarization algorithm and global binarization are used as well as the blob analysis algorithm. Based on the long line fitting algorithm, the bottom frame connected with the characters is removed; based on the characters' gradient lines and average width and height information, the left and right frames are...
Skin detection plays a very essential role in many image processing applications such as face localization, face recognition, gesture recognition and human identification. A robust pre-processing skin detection algorithm can significantly increase the performance of an application in both terms of speed and accuracy. Skin segmentation is often computationally simple, though in many conditions, uneven...
Traditional digital display instrument lacks the communication interface, and its intelligence is based on digital identification technology. To meet the real-time requirements of digital identification, this paper puts forward a complete set of digital recognition algorithm. It uses the Otsu method to carry out the threshold segmentation algorithm on images to be identified. Then it uses projection...
The characteristic of microscopic vascular data is that it contains many tiny vessels with branching and complex structure. The quantification of these vascular networks is crucial in diagnose of vascular abnormalities, surgical planning, and monitoring disease progress or remission. Therefore, We have developed a computerized system for automatically measuring the vascular data of a microscopic image...
Automatic character segmentation is the first most fundamental and crucial step for the Optical Character Recognition (OCR) system. Though there have been a lot mature commercial OCR systems for controlled environment, the techniques of OCR are not as popular as expected for the complex uncontrolled environment. The bottleneck is character segmentation from noisy background. In this paper, we propose...
Controlling multiple devices while driving steals drivers' attention from the road and is becoming the cause of accidents in 1 out of 3 cases. Many research efforts are being dedicated to design, manufacture and test Human-Machine Interfaces that allow operating car devices without distracting the drivers' attention. A complete system for controlling the infotainment equipment through hand gestures...
Segmentation is a core element of computational microscopy since it enables the detailed outlining of individual cells and cell-level measurements of various reactions to drug compounds. Many biological experiments also require confocal imaging to enable imaging of structures in 3D, and such experiments result in large 3D volumes stored as image stacks that can require significant computer memory...
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