A large number of shot boundary detection, or equivalently, transition detection techniques have been developed in recent years. The shot boundary detection includes abrupt and gradual shot change detection. Gradual shot change detection is more challenging task than abrupt shot change detection. Thus aim of this paper is mainly to focus on gradual boundary detection. Previous researches relate...

Prostate Cancer & diseases is quite common in elderly men. Early detection of prostate cancer is very essential for the success of treatment. In the diagnosis & treatment of prostate diseases, prostate boundary detection from sonography images plays a key role. However, because of the poor image quality of ultra sonograms, prostate boundary detection is still difficult & challenging task & no e...

Boundary detection in two-dimensional images is an important problem in computer vision. There are a wide variety of algorithms to accomplish this task, but none have come close to human proficiency. We explore a variety of ways to use machine learning algorithms to combine existing boundary detection algorithms with the goal of exceeding the performance of any particular algorithm. We present ...

As a result of environmental and accidental actions, damage occurs in structures. The early detection of any defect can be achieved by regular inspection and condition assessment. In this way, the safety and reliability of structures can be increased. This paper is devoted to propose a new and effective method for detecting, locating, and quantifying beam-like structures. This method is based o...

Edge detection has been widely used in computer vision and image processing. However, the performance evaluation of the edgedetection results is still a challenging problem. A major dilemma in edge-detection evaluation is the difficulty to balance the objectivity and generality: a general-purpose edge-detection evaluation independent of specific applications is usually not well defined, while a...

In this work we empirically study the multi-scale boundary detection problem in natural images. We utilize local boundary cues including contrast, localization and relative contrast, and train a classifier to integrate them across scales. Our approach successfully combines strengths from both large-scale detection (robust but poor localization) and small-scale detection (detail-preserving but s...

The edges of an image define the image boundary. When the image is noisy, it does not become easy to identify the edges. Therefore, a method requests to be developed that can identify edges clearly in a noisy image. Many methods have been proposed earlier using filters, transforms and wavelets with Ant colony optimization (ACO) that detect edges. We here used ACO for edge detection of noisy ima...

In this work we empirically study the multi-scale boundary detection problem in natural images. We utilize local boundary cues including contrast, localization and relative contrast, and train a classifier to integrate them across scales. Our approach successfully combines strengths from both large-scale detection (robust but poor localization) and small-scale detection (detail-preserving but s...

In this paper we present the novel technique for detection of breast boundary (also known as Breast contour, breast edge, skin-air interface or also called skin-line). Breast boundary extraction is an important preprocessing step in Computer Assisted Diagnosis (CAD) systems. The Breast boundary region detection is a tough task because low contrast region near skin line(boundary). The proposed m...