For more than three decades, Rosie Thomas has enthralled readers around the world. Now, in The Kashmir Shawl, her most ambitious book yet, Thomas sweeps through time and place, and her readers will discover in this novel a captivating, romantic epic--an irresistible story of enduring love and memory.
It is the eve of 1941 and World War II is engulfing the globe. Newlywed Nerys Watkins leaves rural Britain to accompany her husband on a missionary posting to India, but when he leaves her in the exotic lakeside of Srinagar to take on a complicated mission elsewhere, she discovers a new world. Here, in the heart of Kashmir, the British dance, flirt, and gossip against the backdrop of war and Nerys soon becomes caught up in a dangerous liaison. By the time she is reunited with her husband, she is a very different woman. .
Years later, Nery’s granddaughter Mair Ellis clears out her dead father’s house and finds an exquisite shawl--a kaleidoscope of silvery blues and greens. Wrapped in the folds of this delicate object is a lock of a child’s curly hair. With nothing else to go on, Mair decides to trace her roots back to Kashmir, embarking on a quest that will change her own life forever. .
Fabric inspection system is important to maintain the quality of fabric. Fabric inspection is carried out manually with human visual inspection for a long time. The work of inspectors is very tedious and consumes time and cost.To reduce the wastage of cost and time, automatic fabric inspection is required. This paper proposes an approach to recognize fabric defects in textile industry for minimizing production cost and time. The Fabric inspection system first acquires high quality vibration free images of the fabric. Then the acquired images are subjected to defect segmentation algorithm. The output of the processed image is used as an input to the Artificial Neural Network (ANN) which uses back propagation algorithm to calculate the weighted factors and generates the desired classification of defects as an output.
For more than three decades, Rosie Thomas has enthralled readers around the world. Now, in The Kashmir Shawl, her most ambitious book yet, Thomas sweeps through time and place, and her readers will discover in this novel a captivating, romantic epic--an irresistible story of enduring love and memory.
It is the eve of 1941 and World War II is engulfing the globe. Newlywed Nerys Watkins leaves rural Britain to accompany her husband on a missionary posting to India, but when he leaves her in the exotic lakeside of Srinagar to take on a complicated mission elsewhere, she discovers a new world. Here, in the heart of Kashmir, the British dance, flirt, and gossip against the backdrop of war and Nerys soon becomes caught up in a dangerous liaison. By the time she is reunited with her husband, she is a very different woman. .
Years later, Nery’s granddaughter Mair Ellis clears out her dead father’s house and finds an exquisite shawl--a kaleidoscope of silvery blues and greens. Wrapped in the folds of this delicate object is a lock of a child’s curly hair. With nothing else to go on, Mair decides to trace her roots back to Kashmir, embarking on a quest that will change her own life forever. .
Fabric inspection system is important to maintain the quality of fabric. Fabric inspection is carried out manually with human visual inspection for a long time. The work of inspectors is very tedious and consumes time and cost.To reduce the wastage of cost and time, automatic fabric inspection is required. This paper proposes an approach to recognize fabric defects in textile industry for minimizing production cost and time. The Fabric inspection system first acquires high quality vibration free images of the fabric. Then the acquired images are subjected to defect segmentation algorithm. The output of the processed image is used as an input to the Artificial Neural Network (ANN) which uses back propagation algorithm to calculate the weighted factors and generates the desired classification of defects as an output.