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Shadow cause some unwanted change in computer vision and image analysis. Shadow leads to problems in extraction, segmentation of object and recognition due to the misclassification of shadow points as foreground or object points. So, the detection of shadow is of broad interest in computer vision. Due to the alteration in illumination of the background and similarity between appearance of the objects...
The current scenario of scientific knowledge has seen a zoom in the improvement of various technologies. Attributable to this development, the importance level of protecting data has increased rapidly. Security to information defends the access to data from unauthorized users. The likelihood of knowledge insecurity arises to each giant and additionally tiny organization. Data Breach will have an effect...
Palm-leaf manuscripts have enormous information, very much essential to day-to-day life. Due to climatic changes and aging factors these manuscripts have started degrading. To preserve the information present on the palm-leaves, digital images of each leaves have been taken up and stored. These images can be viewed as and when required. However, the storage volume required for each leaf is tremendously...
The Cognitive learning process of a human being normally begins with sensory inputs. This process of learning gets hampered in case of persons with one or more perceptual disability. Vision being one of the most important perception, maximum learning happens through it. The absence of vision in humans is often supported by Tactile or Auditory perception during the cognitive learning process. Colour...
In this paper we proposed SVM algorithm for MNIST dataset with fringe and its complementary version, inverse fringe as feature for SVM. MNIST data-set is consists of 60000 examples of training set and 10000 examples of test set. In our experiments we started with using fringe distance map as feature and found that the accuracy of system on trained data is 99.99% and on test data it is 97.14%, using...
Steganography is a technology that is used to conceal the information within some objects such as image, audio or video so that no one can sense the information. Steganography method has several advantages including high hiding capacity and undetectability. The secret content has been hidden into cover image using IWT method. It is difficult to detect the hidden information by Steganalyser since Stego...
Heavy non-uniform light attenuation in water across visible spectrum causes dramatic hue shifts towards blue, the predominant color in underwater images and this make capturing underwater imaging a challenging task to do. The motivation for this project is to investigate the underwater images, obtained as low quality images due to imaging scenario or underwater species, which could affect the object...
The image captured in water is hazy due to the several effects of the underwater medium. These effects are governed by the suspended particles that lead to absorption and scattering of light during image formation process. The underwater medium is not friendly for imaging data and brings low contrast and fade color issues. Therefore, during any image based exploration and inspection activity, it is...
This paper proposes a new method for the application of makeup on the eyes, face, and lips based on several makeup examples. We created two Gaussian weight maps to generate the effect of natural skin makeup. Due to our Gaussian weight map in blending process, our makeup results are natural.
Joint acquisition of multispectral images raised a lot of interest due to the applications that can be performed using a wide spectrum of information. Images acquired simultaneously from two spectrums (visible and near infrared) can be fused to generate enhanced images (de-hazing, portrait enhancement, low light, beautification, enhancement). The multispectral images can be combined or used separately...
In this paper, we propose a novel image segmentation algorithm for license plate recognition (LPR) in video based traffic surveillance system. The license plate character segmentation is most important procedure in LPR system. However, in real situation, the character segmentation algorithms are challenged by drastic performance decrease due to sudden local illumination changes, especially when the...
In this paper, a traffic light recognition system for real-time processing has been proposed. The conventional saliency map is hardly applicable to traffic light recognition systems due to its high complexity. The proposed system is made for a real-time traffic light recognition system by optimizing the saliency map. The proposed system maintains the recognition rate and reduces the complexity of...
Incidents or fire outbreaks are very common accidents occurring in Malaysia. The damage caused by this type of incident is very catastrophe towards nature and humans. Due to this fact, the need for fire detection application has greatly increase in recent years. In this paper we proposed a fire detection algorithm base using a combination of RGB and HSL filter to detect the color of the fire which...
Image filtering has long been an area of interest in computer vision applications. It may be used in applications where noise is prominent or when certain features need to be enhanced. While single-image filtering techniques are well-established in literature, the introduction of additional information can further improve the quality of filtering. Guided filtering allows for the use of additional...
This paper presents a simple color recognition algorithm using digital image processing techniques and pattern recognition to eliminate the subjectiveness of manual inspection of the quality of coconut sugar based on Philippine National Standard. The image processing was built using MATLAB functions through RGB acquisition. The Backpropagation Artificial Neural Network was used in this project to...
Due to the influence of both background interference and time-varying position, it is difficult to detect the moving object by computer vision in the complex background environment. This paper novelly builds a topological structure of typical features to detect object. The presented method can effectively detect the object which is scaling, rotating or in affine transformation, because of the using...
This paper has been proposed for the image steganography. It is based on a modification of LSB (least significant bit) of pixels and this modification is the replacement of LSB bits of the cover image (CI) pixels that carries the most significant bits (MSB) of data image (DI). This makes the algorithm modest. In steganography of image, security is also a major concern. Here, key based PN (Pseudo Number)...
The significance of blind forensic is to detect a forgery without a support of any digital water marking or signature. A common type of forgery is the copy move forgery. In this kind of forgery a portion from the same image is copied and pasted on the object which is undesirable. Such a forgery is generally carried out to conceal a portion or to enhance the image content. The method proposed in this...
Wide range of products such as clothing, bed linen, curtains, and shoes, use fabrics as main raw material. Fabrics have various types of materials, colors and patterns. Harmony in combining the various types of fabrics will affect the beauty of the resulted product. A system that can be used to retrieve some fabrics similar to a fabrics sample automatically will facilitate the combining process in...
Safe landing of small unmanned aerial vehicles (UAVs) is not an easy task due to complex external aiding devices. Likewise external piloting also involves risks of false landings. Hu's moment based vision algorithms that aids automatic landing of UAVs prove to be satisfying regarding speed but lack accuracy and efficiency. This paper proposes Randomized Hough transform (RHT) based vision algorithm...
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