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Machine vision based on image processing, pattern recognition, computer technology and physiology, exploit computer simulation human brain to process, understanding, description visual the information extracted, is an important branch of artificial intelligence. This paper Proposes a object recognition and centroid detection method based on the machine vision, send the centroid of each extracted object...
Visual Cryptography is an encryption technique where a secret image is cryptographically encoded into n meaningless share images. In visual secret sharing scheme (k, n) the secret images can be visually revealed by stacking together any k or more transparencies of the shares and by inspecting less than k shares, one cannot retrieve the secret image. In Visual Secret Sharing based on halftoning, the...
In order to speed up image processing in visual servoing, the distributed computational power across networks and appropriate data transmission mechanisms are of particular interest. In this paper, a high sampling rate of visual feedback is achieved by distributed computation on a cloud image processing platform. For target tracking with a networked visual servo control system, a switching control...
This paper studies a method for learning a discriminative visual codebook for various computer vision tasks such as image categorization and object recognition. The performance of various computer vision tasks depends on the construction of the codebook which is a table of visual-words (i.e. codewords). This paper proposed a learning criterion for constructing a discriminative codebook, and it is...
Cameras have emerged as the dominant sensor modality for localization and mapping in three-dimensional, unstructured terrain, largely due to the success of sparse, appearance-based techniques, such as visual odometry. However, the Achilles' heel for all camera-based systems is their dependence on consistent ambient lighting, which poses a serious problem in outdoor environments that lack adequate...
Microcomputer camera technology is a method imputing images into computer for acquiring photo documents through image collecting devices as camera and digital camera etc, which is a branch of Computer Multimedia Technology. In this thesis, image collection method by Visual Basic and computer camera is mainly introduced combined with settling cases of image data acquisition in developing Telecommunications...
In the existing research on discrete cosine transform (DCT) based Just Noticeable Distortion (JND) methods, most only consider the luminance effect, and the color influence is considered less completely. So these JND models have not positive effects on color image. In this paper, a DCT based JND model for color image is proposed, which incorporates the color contrast sensitivity function, the frequency...
Uniformity of the prints is one of the important quality elements. However, the large tint and solid areas of digital prints such as electrophotography outputs are often uneven. With the analysis for the causes of the non-uniformity of digital prints and summary for the existing methods of non-uniformity evaluation, a simple non-uniformity assessment method for the prints based on noise power spectrum...
The quality assessment of images is of fundamental importance for most image applications. Structural similarity measure (SSIM) has been widely used which is very easy to calculate but it has been proved not so good in some cases such as Gaussian noise image and blurred image. In this paper we present a novel objective image quality index which is also very easy to calculate and applicable to various...
Summarized the vision structure frame of the YSU soccer robot system and detailedly introduced the key technique of the visual system. Through geometric correction, it settled the problem of image deformation existing in imaging system itself. In order to improve image processing speed and precision, proposed the HSV color space model to process image, after analyzing the RGB color space model advantage...
In view of the existing situation of papayas quality detection in our country, a visual detection system for quality of papaya surfaces is presented in the paper. In order to acquire comprehensive information on papaya surfaces, an inclined plane with small angle is employed as the work platform for image acquisition of papayas, and the inclined angle can be fixed through calculation while making...
Diagnosis of white matter damage by neonatal cranial ultrasound (CrUS) is subject to inter-observer variability and has a low sensitivity to detect late abnormal neurodevelopment in life. In the last decades there have been a significant effort reporting that statistical features of ultrasound images carry important information associated with changes of tissue microstructure. In this work we explored...
The work presented in this paper goals to develop a system for automatic translation of static as well as dynamic gestures of Indian Sign Language. Image processing features such as skin tone detection spatial filter velocimetry and temporal tracing features are utilized for obtaining the motion print which is nothing but the power spectrum representation of the gestures that is unique for each gesture...
The benefits of X-ray inspection are broad in scope due to the ability of X-rays to see through packages including: encapsulation, heat sinks, and metallic shielding to reveal obscured connections and identify potential quality nondestructive issues. X-ray inspection is particularly beneficial to applications that involve advanced packaging technologies such as Ball Grid Array (BGA). This paper proposes...
Determining number of clusters present in a data set is an important problem in clustering. There exist very few techniques that can solve this problem satisfactorily. Some of these techniques rely on user supplied information, while some others use cluster validity indices which are expensive with regard to computation time. This paper proposes an alternative solution for the concerned problem that...
Care about the human vision is the most important for infants, when the visual system still develops. Any disorder through this period could cause irreversible pathological changes of the visual functions. Children' visual system is particularly sensitive to the refractive disorders, unsuitable optical corrections or retinal or visual pathways disorders. Diagnostics of infants' amblyopia and oculomotor...
We present a retrieval-based tracking system that requires less computational time and cost. The system tracks a user's location through a small portion of an image captured by the camera, and then refines the camera pose by propagating matchings to the whole image. Augmented information such as building names and locations will be delivered to the user. The progressive way to process image data not...
In this paper, an acoustic and visual signal based context awareness system is proposed for a mobile application. The proposed system senses and determines, in real time, user contextual information, such as where the user is or what the user does, by processing signals from the microphone and the camera embedded in the mobile device. An initial implementation of the algorithms into a smart phone...
In this article, we propose a bottom-up saliency model which works on capturing the contrast between random pixels in an image. The model is explained on the basis of the stimulus bias between two given stimuli (pixel intensity values) in an image and has a minimal set of tunable parameters. The methodology does not require any training bases or priors. We followed an established experimental setting...
The practice of Minimally Invasive Surgery is becoming more and more widespread and is being adopted as an alternative to the classical procedure. This technique presents some limitations for surgeons. In particular, the lack of depth in perception and the difficulty in estimating the distance of the specific structures in laparoscopic surgery can impose limits to delicate dissection or suturing....
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